{ "count" : 81897, "data" : [ { "id" : "6a305a95f292fd229cf52ea5", "title" : "Manufacturing Strategy Intern", "company" : "Iovance Biotherapeutics", "industry" : "Biotech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an entry-level Manufacturing Strategy Intern in the Biotech industry in Philadelphia, USA, adjusted for internship seniority and company size." }, "location" : "Philadelphia, Pennsylvania, United States", "locations" : [ "Philadelphia", "Pennsylvania", "United States" ], "timestamp" : "2026-06-16T08:02:40.079", "fingerprint" : "6a3f7080b8e0b2ad65eb159e9653f514c027a0d7c88b9737c986c0d1c5bc1e6c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iovancebiotherapeutics/jobs/5263156008", "externalId" : "5263156008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Philadelphia", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9527237,-75.1635262" } ], "locationText" : "Philadelphia, Pennsylvania, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Associate's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Excel, PowerPoint, Outlook", "professionalSkills" : [ "Interpersonal skills", "Team-building skills", "Analytical skills", "Organization skills", "Conceptual thinking", "Judgment", "Troubleshooting", "Problem-solving" ], "hardSkillsList" : [ "Data gathering", "Data entry", "Basic analysis", "Process observation" ], "hardSkills" : [ { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Basic analysis", "level" : "intermediate" }, { "name" : "Process observation", "level" : "intermediate" } ], "majorSkills" : "Process optimization, Data analysis, Project management", "majorSkillsList" : [ "Process optimization", "Data analysis", "Project management" ], "coreResponsibilities" : "Support Capital Planning Program, Gather data, Prepare spreadsheets, Perform basic analysis, Support project management, Record meeting minutes, Track action logs, Follow up on actions, Develop flowcharts, Identify critical steps, Identify timelines, Identify resource requirements, Catalogue opportunities, Assist in developing roadmaps, Assist in implementing roadmaps, Optimize business processes, Identify appropriate metrics, Collect relevant data, Create visualizations, Monitor project status, Track opportunity benefits, Perform process observation, Perform data gathering, Perform data entry, Perform analysis using Excel", "teamCollaboration" : "Support various departments; Interact with Finance; Interact with Regulatory; Interact with Clinical; Interact with Commercial Operations", "projectManagementSkills" : [ "Project management", "Roadmap development" ], "domainKnowledge" : "Tumor infiltrating lymphocyte therapy; Cell therapy; Immuno-oncology", "domainList" : [ "tumor-infiltrating-lymphocyte-therapy", "cell-therapy", "immuno-oncology" ], "domainSpecificKnowledge" : [ "Tumor infiltrating lymphocyte therapy", "Cell therapy", "Immuno-oncology" ], "toolProficiency" : [ "Microsoft Office", "Excel", "PowerPoint", "Outlook" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Record meeting minutes; Develop flowcharts", "problemSolvingSkills" : "Proactive problem-solving; Analytical skills; Conceptual thinking; Judgment; Troubleshooting; Problem-solving; Handle multiple priorities; Meet deadlines", "specialRequirements" : "Work in office and laboratory, Risk of exposure to hazardous or biological waste", "qualificationsBasic" : "Currently enrolled in degree program, Completed at least one year of study, Proficient with Microsoft Office, Excel, PowerPoint, Outlook", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Iovance Biotherapeutics aims to be the global leader in innovating, developing and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. We are pioneering a transformational approach to treating cancer by harnessing the ability of the human immune system to recognize and attack diverse cancer cells in each patient. The Iovance TIL platform has demonstrated promising clinical data across multiple solid tumors. We are committed to continuous innovation in cell therapy, including gene-edited cell therapy, which may be a promising option for patients with cancer. Overview Iovance Biotherapeutics is an immuno-oncology company focused on the development and commercialization of novel cancer immunotherapies based on tumor infiltrating lymphocytes (TIL). Iovance is seeking an Intern to support various activities and projects across Manufacturing. This role will support various departments and teams across the organization with exposure to Operations, Supply Chain, Capital Planning, interacting with Finance, Regulatory, Clinical and Commercial Operations Responsibilities: Support the Capital Planning Program by gathering date, preparing spreadsheets and performing basic analysis Support project management, recording of meeting minutes, action logs, action follow up, etc. Develop flowcharts, identifying critical steps, timelines and resource requirements to identify and catalogue opportunities. Assist in the development and implementation of roadmaps that focus on the optimizing business processes across departments Work with leadership to identify appropriate metrics at various employee levels, collect relevant data, and create visualizations that monitor project status and opportunity/benefits tracking. Perform basic process observation, including data gathering and data entry to perform analysis using Excel. Performs other duties as assigned by leader. Education: Must be currently enrolled in a degree program at an accredited university/college. Must have completed at least one year of study at an accredited university/college prior to internship commencing. Strong interpersonal and team-building skills, effective communication (both written and verbal), proactive problem-solving and analytical skills. Excellent organization skills and an ability to prioritize effectively to deliver results within reasonably established guidelines. Proficient with Microsoft Office (Excel, PowerPoint, and Outlook). Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem-solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Work Environment This position will work in both an office and a laboratory setting. When in the lab, there may be a risk of exposure to hazardous or biological waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning, and/or disposal of contaminated areas and waste. #LI-onsite The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Iovance is committed to cultivating and offering a diverse and inclusive work environment. As an equal-opportunity employer, our employees and applicants will be considered without regard to an individual’s race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. If you need assistance or accommodation to apply to one of our opportunities, please contact careers@iovance.com. By voluntarily providing information and clicking “Submit Application”, you explicitly consent to the collection and use of your personal information for the purposes described above and in our Candidate Privacy Notice.", "summaryDescription" : "Manufacturing Strategy Intern at Iovance Biotherapeutics. Skills: Process optimization, Data analysis, Project management. Support Capital Planning Program. Gather data", "postedDate" : "2026-06-15T23:26:43.116", "createdAt" : "2026-06-15T23:26:43.116", "lastUpdated" : "2026-06-16T08:02:40.079", "ingestTimestamp" : "2026-06-15T23:26:43.116", "mongoId" : "6a305a95f292fd229cf52ea5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data gathering", "Data entry", "Basic analysis", "Process observation", "Process optimization", "Data analysis", "Project management", "Interpersonal skills", "Team-building skills", "Analytical skills", "Organization skills", "Conceptual thinking", "Judgment", "Troubleshooting", "Problem-solving", "Roadmap development", "Tumor infiltrating lymphocyte therapy", "Cell therapy", "Immuno-oncology", "Microsoft Office", "Excel", "PowerPoint", "Outlook" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a10358e58b93c861e166185", "title" : "Manager Wet Stock", "company" : "Alimentation Couche-Tard Inc.", "industry" : "Logistics", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager Wet Stock in India, adjusted for seniority, retail industry, and company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T13:10:07.410", "fingerprint" : "67e7bfbfb4ceb4de87162af08cc6b5276ada73a5f1bc4559119453d6a7f8dd01", "source" : "workday", "language" : "en", "applyUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Support-Office-India/Manager-Wet-Stock-Management_R591141", "externalId" : "R591141", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Higher educational level", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Manager", "professionalSkills" : [ "Wet stock management", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Analytics" ], "hardSkillsList" : [ "Wetstock analytics", "Reporting" ], "softSkillsList" : [ "Leadership", "Interpersonal skills" ], "hardSkills" : [ { "name" : "Wetstock analytics", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Wet stock management, Team leadership, Process optimization", "majorSkillsList" : [ "Wet stock management", "Team leadership", "Process optimization" ], "coreResponsibilities" : "Lead and manage wet stock analytics team, Oversee monitoring and analysis of wetstock management, Ensure accuracy and efficiency of wetstock monitoring systems, Identify and address areas for improvement, Collaborate with cross-functional teams to develop strategies, Implement strategies for optimizing wetstock management, Conduct audits for compliance, Drive development of advanced reports and dashboards, Maintain advanced reports and dashboards, Provide insights into wetstock metrics and trends, Perform reviews for reporting, Provide feedback for reporting, Establish communication with key stakeholders, Develop communication with key stakeholders, Report major faults and issues to BUs", "teamCollaboration" : "Partner with multiple departments; Collaborate with cross-functional teams", "domainKnowledge" : "Wet stock management; Logistics; Supply chain; Compliance; Industry standards; Regulatory requirements", "domainList" : [ "wet-stock-management", "logistics", "supply-chain", "compliance", "industry-standards", "regulatory-requirements" ], "domainSpecificKnowledge" : [ "Wet stock management", "Logistics", "Supply chain", "Compliance", "Industry standards", "Regulatory requirements" ], "communicationSkills" : "Convey complex data insights", "problemSolvingSkills" : "Identify and address areas for improvement", "outcomesObjectives" : "Grow F&L globally", "qualificationsBasic" : "5-7 years relevant experience, Work experience in foreign multicultural environment, Fluency in English", "qualificationsPreferred" : "Master's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, ACT’s retail network includes ~16,700 convenience stores, and has footprint across 31 countries and territories primarily under the Circle K brand. The India Fuels & Logistics Global Capability Centre (F&L GCC) is an integral part of ACT’s Global Fuels & Logistics Team, and the Manager Wet Stock will be a key player on this team that will help oversee entire wetstock management process in respective region, ensuring accuracy, efficiency and compliance with company and industry standards and grow F&L globally at ACT. _**About the role:**_ The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The role will be responsible for leading the Wet Stock Management function for the designated region (Europe, USA, or Canada), ensuring efficient execution of wet stock operations in alignment with organizational and industry standards. **_Roles & Responsibilities_** * Lead and manage the wet stock analytics team, providing guidance, mentorship, and fostering a collaborative work environment. * Oversee the monitoring and analysis of wetstock management. * Ensure the accuracy and efficiency of wetstock monitoring systems, proactively identifying and addressing areas for improvement. * Collaborate with cross-functional teams to align wetstock monitoring systems, proactively identifying and addressing areas for improvement. * Collaborate with cross-functional teams to develop and implement strategies for optimizing overall wetstock management. * Conduct thorough audits to ensure compliance with wet stock management procedures, industry regulations, and best practices. * Drive development and maintenance of advanced reports and dashboards, providing comprehensive insights into wetstock metrics and trends. * Perform reviews and provide feedback for the reporting. * Establish and develop communication with key stakeholders. * Collaborate with cross-functional teams to develop and implement strategies for optimizing overall wetstock management. * Report to BU`s about major faults and issues that don`t follow company established processes. _**Qualifications and experience**_ * 5-7 years of relevant experience within logistics, supply chain, compliance, statistics, finance, engineering, or other related industries. * Work experience in a foreign and multicultural environment. * Higher educational level in management, logistics, engineering, statistics, accounting, or a related field. A master's degree is preferable. _**Competencies:**_ * Effective communication skills to convey complex data insights to various stakeholders. * Extensive experience in wet stock management, with a proven track record of success in a managerial or leadership role. * Leadership and interpersonal skills, with the ability to inspire and lead a high-performance team. * Ability to drive continuous improvement initiatives and adapt to evolving industry trends. * Familiarity with regulatory requirements related to wet stock management. * Personal integrity: promotes and lives the company standard of ethics and values. * Fluency in English (verbal and written) * Long experience within relevant work can compensate for lack of formal education. #LI-DS1", "summaryDescription" : "Manager Wet Stock at Alimentation Couche-Tard Inc.. Skills: Wet stock management, Team leadership, Process optimization. Lead and manage wet stock analytics team. Oversee monitoring and analysis of wetstock management", "postedDate" : "2026-06-16T03:43:03.489", "createdAt" : "2026-06-16T03:43:03.446", "lastUpdated" : "2026-06-16T13:10:07.410", "ingestTimestamp" : "2026-06-16T03:43:03.446", "mongoId" : "6a10358e58b93c861e166185", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Support-Office-India/Manager-Wet-Stock-Management_R591141", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Wetstock analytics", "Reporting", "Leadership", "Interpersonal skills", "Wet stock management", "Team leadership", "Process optimization", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Analytics", "Logistics", "Supply chain", "Compliance", "Industry standards", "Regulatory requirements" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3076fef292fd229c020e86", "title" : "Senior Manufacturing Process Engineer", "company" : "Carbon, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Manufacturing Process Engineer in Sunnyvale, United States, adjusted for industry and company size." }, "location" : "Sunnyvale, California, United States", "locations" : [ "Sunnyvale", "California", "United States" ], "timestamp" : "2026-06-16T11:41:26.000", "fingerprint" : "a2b9fb90346db87d8810d88b11b087a6da5a230c16cec448506a18216226495d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/carbon/jobs/5160565007", "externalId" : "5160565007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. TBD By clicking the “APPLY NOW” button and submitting your job application, you agree you have reviewed the complete Privacy Notice for Employees, Independent Contractors and Job Applicants, which explains the categories of personal information we collect about you, the purposes for which the categories of personal information shall be used and your rights with respect to our use of such personal Information.", "summaryDescription" : "Senior Manufacturing Process Engineer at Carbon, Inc.", "postedDate" : "2026-06-16T01:19:09.101", "createdAt" : "2026-06-16T01:19:09.101", "lastUpdated" : "2026-06-16T11:41:26.000", "ingestTimestamp" : "2026-06-16T01:19:09.101", "mongoId" : "6a3076fef292fd229c020e86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305739f292fd229cf35d48", "title" : "Process Technician", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Process Technician in Hudson, United States, adjusted for mid-seniority and the defense technology industry." }, "location" : "Hudson, New Hampshire, United States", "locations" : [ "Hudson", "New Hampshire", "United States" ], "timestamp" : "2026-06-16T07:56:59.989", "fingerprint" : "99d0da7452fb850146aba62a791c19d17ac2f59ea4382f860eb4f149b8123c3b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5164791007?gh_jid=5164791007", "externalId" : "5164791007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hudson", "state" : "New Hampshire", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7655784,-71.4393423" } ], "locationText" : "Hudson, New Hampshire, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Operate specialized vacuum systems, Maintain specialized vacuum systems, Ensure quality of IDCA production, Ensure efficiency of IDCA production, Execute vacuum processes, Execute cryogenic processes", "domainKnowledge" : "Infrared imaging solutions; AI-powered operating system; Autonomy; AI; Computer vision; Sensor fusion; Networking technology; Thermal imaging", "domainList" : [ "infrared-imaging-solutions", "ai-powered-operating-system", "autonomy", "ai", "computer-vision", "sensor-fusion", "networking-technology", "thermal-imaging" ], "domainSpecificKnowledge" : [ "Infrared imaging solutions", "AI-powered operating system", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology", "Thermal imaging" ], "qualificationsBasic" : "Operate vacuum systems, Maintain vacuum systems, Execute cryogenic systems, Maintain cryogenic systems", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM: Anduril AIRS provides high-performance cooled infrared imaging solutions, encompassing IDCAs, modules, and cameras. We achieve this through state-of-the-art technologies, advanced designs, and vertically integrated manufacturing processes. Our core strength lies in delivering customized, mission-critical imaging capabilities to system integrators and instrumentation manufacturers facing unique, challenging, and complex thermal imaging needs. WHAT YOU’LL DO: As a Process Technician, you will be responsible for the meticulous operation and maintenance of our specialized vacuum and cryogenic systems, ensuring the quality and efficiency of our IDCA production. Execute Vacuum and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Process Technician at Anduril Industries. Operate specialized vacuum systems. Maintain specialized vacuum systems", "postedDate" : "2026-06-15T23:18:11.894", "createdAt" : "2026-06-15T23:18:11.894", "lastUpdated" : "2026-06-16T07:56:59.989", "ingestTimestamp" : "2026-06-15T23:18:11.894", "mongoId" : "6a305739f292fd229cf35d48", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Infrared imaging solutions", "AI-powered operating system", "Autonomy", "AI", "Computer vision", "Sensor fusion", "Networking technology", "Thermal imaging" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79a074d8ee00a09420b6", "title" : "Manufacturing Process Engineer", "company" : "Wedgewood Pharmacy", "industry" : "Manufacturing", "salary" : { "min" : 90000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Albany, OH", "locations" : [ "Albany", "OH" ], "timestamp" : "2026-06-15T09:18:14.570", "fingerprint" : "5d957205cb308ba466ccd9035e78d5324d8fb514d6302cfe24ff69d864d84f53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wedgewoodpharmacy/jobs/4258216009", "externalId" : "4258216009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Albany", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.2275735,-82.2023695" } ], "locationText" : "Albany, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Sterile compounding, Process development, Equipment installation, Commissioning, Qualification, Validation, Preventive Maintenance, Calibration, Root cause investigations, Technology transfer, Scale-up", "professionalSkills" : [ "Process improvement", "Quality assurance", "Regulatory compliance", "Project management", "Vendor selection", "Budgeting" ], "hardSkillsList" : [ "Process engineering", "Pharmaceutical production", "CGMP standards", "SOP authoring", "Batch record maintenance", "Validation protocols", "Technical reports", "Capital projects" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Pharmaceutical production", "level" : "intermediate" }, { "name" : "CGMP standards", "level" : "intermediate" }, { "name" : "SOP authoring", "level" : "intermediate" }, { "name" : "Batch record maintenance", "level" : "intermediate" }, { "name" : "Validation protocols", "level" : "intermediate" }, { "name" : "Technical reports", "level" : "intermediate" }, { "name" : "Capital projects", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Manufacturing processes, Sterile pharmaceutical production, CGMP compliance", "majorSkillsList" : [ "Manufacturing processes", "Sterile pharmaceutical production", "CGMP compliance" ], "coreResponsibilities" : "Design manufacturing processes, Develop manufacturing processes, Implement manufacturing processes, Develop tooling, Implement tooling, Develop workflows, Implement workflows, Support sterile compounding, Support production scale-up, Troubleshoot process issues, Troubleshoot equipment issues, Troubleshoot facility issues, Lead facility startup, Install equipment, Commission equipment, Qualify equipment, Validate equipment, Build manufacturing systems, Refine manufacturing systems, Build manufacturing documentation, Refine manufacturing documentation, Build manufacturing processes, Refine manufacturing processes, Partner with Quality, Partner with Operations, Partner with R&D, Ensure FDA compliance, Ensure cGMP compliance, Author cGMP documentation, Maintain cGMP documentation, Develop Preventive Maintenance programs, Implement Preventive Maintenance programs, Develop Calibration programs, Implement Calibration programs, Provide engineering support, Drive root cause investigations, Manage deviations, Manage CAPAs, Ensure process improvements, Support technology transfer, Support scale-up, Evaluate process improvements, Implement process improvements, Increase throughput, Reduce waste, Enhance product quality, Manage capital projects, Select vendors, Budget capital projects, Execute capital projects, Operate with urgency, Adapt to priorities", "teamCollaboration" : "Cross-functional teams; Quality, Operations, R&D", "projectManagementSkills" : [ "Capital projects" ], "domainKnowledge" : "Sterile pharmaceutical production; FDA requirements; cGMP requirements; 503B outsourcing facility", "domainList" : [ "sterile-pharmaceutical-production", "fda-requirements", "cgmp-requirements", "503b-outsourcing-facility" ], "domainSpecificKnowledge" : [ "Sterile pharmaceutical production", "FDA requirements", "cGMP requirements", "503B outsourcing facility" ], "toolProficiency" : [ "Autoclaves", "HVAC systems", "Refrigeration systems", "Filling equipment", "Compounding equipment", "Packaging equipment" ], "documentationSkills" : "SOPs; Batch records; Validation protocols; Technical reports", "continuousLearning" : "Tuition reimbursement", "problemSolvingSkills" : "Troubleshooting; Root cause analysis; Problem-solving", "specialRequirements" : "Occasional weekend work, Respond to emergencies, 10-15% travel", "outcomesObjectives" : "Minimize downtime; Ensure production continuity; Increase throughput; Reduce waste; Enhance product quality", "qualificationsBasic" : "Bachelor's degree in Engineering, 1–5+ years of experience, Basic understanding of cGMP, Troubleshooting and problem-solving skills, Positive, professional attitude, Ability to work independently, Ability to work in a team environment, Detail-oriented individual, Ability to work cross-functionally, Adapt in a growing environment, Attention to detail, Collaborative mindset", "qualificationsPreferred" : "Experience in a regulated environment, Knowledge of Regulatory and cGMP guidelines", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Wedgewood Pharmacy, we are dedicated to improving the lives of animals through customized medication and compassionate care. Every role in our organization contributes to helping pets live healthier, happier lives. We are a team driven by purpose, quality, and a shared commitment to animal health. The Manufacturing Engineer will play a critical role in building and scaling manufacturing operations. This position is responsible for developing, implementing, and continuously improving manufacturing processes, equipment, and systems to support sterile pharmaceutical production. This is a highly hands-on role in a startup environment, requiring the ability to operate both strategically and tactically supporting day-to-day production while establishing scalable, compliant processes aligned with FDA and cGMP requirements. The Basics Location: Albany, Ohio Job Type: Full Time Schedule: Monday - Friday 8:00 am -4:30 pm (Must have the ability to respond to emergencies and be available for occasional weekend work for special projects) Compensation: The base pay range for this position is $90K-$125K base plus an annual bonus commensurate with the individual's experience and qualifications. Benefits: Eligible How You’ll Make an Impact Design, develop, and implement manufacturing processes, tooling, and workflows to support sterile compounding and production scale-up Troubleshoot process, equipment, and facility issues in real time to minimize downtime and ensure production continuity Lead facility startup activities, including equipment installation, commissioning, qualification (IQ/OQ/PQ), and validation Build and refine manufacturing systems, documentation, and processes from the ground up in a fast-paced environment Partner cross-functionally with Quality, Operations, and R&D to ensure compliance with U. S. Food and Drug Administration 503B outsourcing facility requirements and cGMP standards Author and maintain cGMP documentation including SOPs, batch records, validation protocols, and technical reports Develop and implement Preventive Maintenance and Calibration programs for critical manufacturing and facility equipment Provide engineering support for critical systems, including: Autoclaves and sterilization equipment Cleanroom and HVAC & Water systems (e.g., WFI, purified water) Refrigeration and controlled storage systems Filling, compounding, and packaging equipment Drive root cause investigations, deviations, and CAPAs to ensure sustainable process improvements Support technology transfer and scale-up of new products into manufacturing Evaluate and implement process improvements to increase throughput, reduce waste, and enhance product quality Manage capital projects, including vendor selection, budgeting, and execution Operate with a high sense of urgency and adaptability in a startup environment with evolving priorities What We’re Looking For Ability to travel up to 10-15% dependent on business needs Bachelor’s degree in Engineering, Life Sciences, or related technical field 1–5+ years of experience in manufacturing, engineering, or a regulated environment (internships/co-ops considered) Basic understanding of cGMP or regulated industry practices Strong troubleshooting and problem-solving skills You bring a positive, professional attitude and can communicate and collaborate with all levels of employees, customers, contractors & vendors. Comprehensive knowledge of Regulatory and cGMP guidelines, with the ability to contribute to quality records (Deviations, Investigations, CAPA, and Change Control). Ability to work independently and in a team environment Thrive in a fast-paced environment and adapt to changing priorities Detail-oriented individual who understands the importance of accuracy and responsiveness Ability to work cross-functionally and adapt in a growing environment Strong attention to detail and ability to thrive in a fast-paced environment Collaborative mindset and commitment to team success What You’ll Love About Wedgewood Opportunities for growth and career development A supportive, team-first culture where your work matters The ability to make a real impact on animal health every day A comprehensive benefits package that includes health, dental, and flexible spending accounts 401(k) retirement plan with a generous company contribution to help you save for the future Company Paid Life and disability insurance Access to voluntary insurance options A generous paid time off program that increases every year Tuition reimbursement Why We Do What We Do At Wedgewood Pharmacy, your work has purpose. Every prescription you help prepare, support, or deliver contributes to improving the health and well-being of animals. We are passionate about what we do and proud to build a workplace where people feel supported, included, and valued. Our Commitment to Inclusion Wedgewood Pharmacy is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where everyone can thrive.", "summaryDescription" : "Manufacturing Process Engineer at Wedgewood Pharmacy. Skills: Manufacturing processes, Sterile pharmaceutical production, CGMP compliance. Design manufacturing processes. Develop manufacturing processes", "postedDate" : "2026-06-14T02:59:05.250", "createdAt" : "2026-06-14T02:59:05.250", "lastUpdated" : "2026-06-15T09:18:14.570", "ingestTimestamp" : "2026-06-14T02:59:05.250", "mongoId" : "6a2c79a074d8ee00a09420b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Process engineering", "Pharmaceutical production", "CGMP standards", "SOP authoring", "Batch record maintenance", "Validation protocols", "Technical reports", "Capital projects", "Adaptability", "Manufacturing processes", "Sterile pharmaceutical production", "CGMP compliance", "Process improvement", "Quality assurance", "Regulatory compliance", "Project management", "Vendor selection", "Budgeting", "FDA requirements", "cGMP requirements", "503B outsourcing facility", "Autoclaves", "HVAC systems", "Refrigeration systems", "Filling equipment", "Compounding equipment", "Packaging equipment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a64f292fd229cf50000", "title" : "Data Processing Intern", "salary" : { "min" : 30000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Processing Intern in Fowler, United States, adjusted for internship employment type." }, "location" : "Fowler, CA", "locations" : [ "Fowler, CA" ], "timestamp" : "2026-06-16T05:05:46.102", "fingerprint" : "22a04b297eea17102b49f7cd12985c7297b401a044ff82b977ffd4bfaeaba4a2", "source" : "jazzhr", "language" : "en", "externalId" : "MMbyNj6r3a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fowler", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.6305058,-119.6784690" } ], "locationText" : "Fowler, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "summaryDescription" : "Data Processing Intern", "createdAt" : "2026-06-15T22:19:15.633", "lastUpdated" : "2026-06-16T05:05:46.102", "ingestTimestamp" : "2026-06-15T22:19:15.633", "mongoId" : "6a305a64f292fd229cf50000", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 30000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c7ae874d8ee00a09475ac", "title" : "Manufacturing Process Engineer", "company" : "Gotion, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 80000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Manteno, Illinois, United States", "locations" : [ "Manteno", "Illinois", "United States" ], "timestamp" : "2026-06-15T07:47:14.018", "fingerprint" : "0a6620de20bd800a0d94020eac44574d1ca2c672bd86acd0abc9448f4c1764d8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/6894478002", "externalId" : "6894478002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manteno", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2501677,-87.8326423" } ], "locationText" : "Manteno, Illinois, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "hardSkillsList" : [ "Process qualification", "Problem-solving" ], "hardSkills" : [ { "name" : "Process qualification", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "majorSkills" : "Manufacturing Engineering, Process Engineering", "majorSkillsList" : [ "Manufacturing Engineering", "Process Engineering" ], "coreResponsibilities" : "Ensure stable manufacturing processes, Hit target yield, Hit target capabilities, Hit target throughput, Hit target OEE, Collaborate on control plans, Collaborate on in-process checks, Support initial process qualification, Drive continuous improvement, Facilitate problem-solving, Develop process documents, Maintain process documents, Conduct training for employees", "teamCollaboration" : "Collaborate with Quality", "domainKnowledge" : "Pack/Module assembly; Lithium batteries", "domainList" : [ "pack-module-assembly", "lithium-batteries" ], "domainSpecificKnowledge" : [ "Pack/Module assembly", "Lithium batteries" ], "documentationSkills" : "Process documents", "innovationCreativity" : "Innovate in next generation technologies", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Hit target yield; Hit target capabilities; Hit target throughput; Hit target OEE", "qualificationsBasic" : "2-10 years experience, BS/MS/PhD in Engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. Essential Duties and Responsibilities: Ensure stable manufacturing processes in Pack/Module pilot production line, hitting target yield, capabilities, throughput, and OEE. Collaborate with Quality and other teams on control plans and in-process quality checks. Support initial process qualification, drive continuous improvement, and facilitate problem-solving using quality tools. Develop and maintain process documents, conduct training for production employees. Required Qualifications: 2-10 years of experience in Manufacturing Engineering, preferably in Pack/Module assembly processes. BS/MS/PhD in Mechanical/Industrial/Chemical/Materials Engineering. Base pay is one part of our total compensation package at Gotion, and is determined within a range. This provides you with the opportunity to progress as you grow and advance your career at Gotion. The base pay range for this role is shown below, and will depend on your skills, qualifications, experiences, and location. Expected Pay Range $80,000—$120,000 USD Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Manufacturing Process Engineer at Gotion, Inc.. Skills: Manufacturing Engineering, Process Engineering. Ensure stable manufacturing processes. Hit target yield", "postedDate" : "2026-06-13T21:09:55.778", "createdAt" : "2026-06-13T21:09:55.778", "lastUpdated" : "2026-06-15T07:47:14.018", "ingestTimestamp" : "2026-06-13T21:09:55.778", "mongoId" : "6a2c7ae874d8ee00a09475ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Process qualification", "Problem-solving", "Manufacturing Engineering", "Process Engineering", "Pack/Module assembly", "Lithium batteries" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aa8", "title" : "Sales Data Analysis", "company" : "Beijing Mercedes-Benz Sales Service Co.", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a junior sales data analyst in Beijing, China, with adjustments for the automotive industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-15T13:43:47.516", "fingerprint" : "6cb0dd412af2e7f9ea9660c00f521a0f4655e5f18db98b0278517305d4f706d0", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883272", "externalId" : "883272", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, Tableau, Power BI", "professionalSkills" : [ "Market trend analysis", "Sales performance analysis", "Data visualization" ], "hardSkillsList" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Sales reporting", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Sales reporting, Data visualization", "majorSkillsList" : [ "Data analysis", "Sales reporting", "Data visualization" ], "coreResponsibilities" : "Extract, process, and validate sales data, Support sales reporting and performance, Prepare accurate and timely sales reports, Assist in market trend analysis, Assist in ad-hoc topics analysis, Prepare presentation for sales related, Collaborate with IT and data teams, Ensure data integrity and accessibility, Cleanse and validate data, Maintain data extraction processes and scripts, Report on sales KPIs, Deliver month-end/year-end retail landing results, Create dashboards, analysis, reports, and visualizations, Provide business insight, Analyze market trends and sales performance, Support tactical teams with data, Help prepare presentation materials, Document data extraction and reporting processes, Improve data structures and reporting efficiency, Ensure compliance with data security and governance policies", "teamCollaboration" : "Collaborate with IT; Collaborate with data teams", "domainKnowledge" : "Sales reporting; Automotive industry; Sales industry", "domainList" : [ "sales-reporting", "automotive-industry", "sales-industry" ], "domainSpecificKnowledge" : [ "Sales reporting", "Automotive industry", "Sales industry" ], "toolProficiency" : [ "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "communicationSkills" : "Presentation preparation", "documentationSkills" : "Document data extraction; Document reporting processes", "problemSolvingSkills" : "Data analysis; Ad-hoc analysis", "outcomesObjectives" : "Support sales reporting and performance; Prepare accurate and timely sales reports; Deliver month-end/year-end retail landing results", "qualificationsBasic" : "Bachelor degree or above, Data analysis tools or scripting, SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, English level CET 6", "qualificationsPreferred" : "Data Science, Business, Information Systems, or related fields, Familiarity with data visualization tools, 2 years' experience in data extraction, reporting, or automotive or sales industry background, High attention to detail, Commitment to data accuracy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job: 1. Extract, process, and validate sales data from data lakes and databases using data analysis tools or scripting methods (SQL, database, & etc.) to support sales reporting and performance tracking; 2. Prepare accurate and timely sales reports to support sales steering; 3. Assist in market trend analysis and ad-hoc topics analysis ; 4. Presentation preparation for sales related topics; 5. Collaborate with IT and data teams to ensure data integrity and accessibility for sales reporting. Task description: 1. Data Extraction & Processing - Extract sales data from data sources using appropriate tools or scripts - Cleanse and validate data to ensure accuracy and consistency - Maintain data extraction processes and scripts (where applicable) 2. Sales Reporting & Dashboards - Responsible for in-time and accurate operational report and analysis for central and region sales & marketing (daily reports) - Proactively reporting on sales KPIs include but not limited to sales pace, RT/WS TA achievement, showroom traffic, order performance and sales funnel on different data granularities - Month-end/year-end retail landing result delivery - Leading interpretation of business requirements to create dashboards, analysis, reports, and other data visualizations that provide business insight 3. Basic Market & Sales Analysis - Assist in analyzing market trends and sales performance based on extracted data - Support tactical teams with data for ad-hoc analysis - Help prepare presentation materials with reliable data inputs 4. Process & Data Governance - Document data extraction and reporting processes - Work with IT to improve data structures and reporting efficiency - Ensure compliance with data security and governance policies. - Bachelor degree or above, preferably in Data Science, Business, Information Systems, or related fields. - Practical experience in using data analysis tools or scripting for data extraction and processing (e.g., SQL, Python, R, Excel Power Query, Tableau Prep, Alteryx, or similar). - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - English level-CET 6 and above. - 2 years’ experience in data extraction, reporting, or analysis; automotive or sales industry background preferred. - High attention to detail and a strong commitment to data accuracy. Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Sales Data Analysis at Beijing Mercedes-Benz Sales Service Co.. Skills: Data analysis, Sales reporting, Data visualization. Extract, process, and validate sales data. Support sales reporting and performance", "createdAt" : "2026-06-14T06:42:27.615", "lastUpdated" : "2026-06-15T13:43:47.516", "ingestTimestamp" : "2026-06-14T06:42:27.615", "mongoId" : "69ce5e3b9bc74574cb677aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data extraction", "Data processing", "Data validation", "Sales reporting", "Dashboard creation", "Data analysis", "Data visualization", "Market trend analysis", "Sales performance analysis", "Automotive industry", "Sales industry", "SQL", "Python", "R", "Excel Power Query", "Tableau Prep", "Alteryx", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cbee974d8ee00a0a00083", "title" : "Senior Manufacturing Process Engineer", "company" : "Avidyne", "industry" : "Manufacturing", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Manufacturing Process Engineer in Melbourne, United States, adjusted for industry and company size." }, "location" : "Melbourne, FL", "locations" : [ "Melbourne", "FL" ], "timestamp" : "2026-06-16T01:49:16.389", "fingerprint" : "83fda20e6206ada27f51aed2f22596b222427781dd0881a107671a389cdc5cc8", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://avidyne.breezy.hr/p/c9c322ce7133-senior-manufacturing-process-engineer", "externalId" : "c9c322ce7133", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.0785034,-80.6077908" } ], "locationText" : "Melbourne, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Document processes, Qualify equipment, Implement continuous improvement, Own MES, Design for manufacturability, Plan factory layout, Automate systems", "qualificationsBasic" : "Process documentation experience, Equipment qualification experience, Continuous improvement experience, MES ownership experience, DFM experience, Factory layout experience, Systems automation experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Most process engineering roles give you a slice. This one gives you the whole thing. Process documentation, equipment qualification, continuous improvement, MES ownership, DFM, factory layout, systems automation. At larger companies, those are five or six different people", "summaryDescription" : "Senior Manufacturing Process Engineer at Avidyne. Document processes. Qualify equipment", "createdAt" : "2026-06-14T18:50:45.691", "lastUpdated" : "2026-06-16T01:49:16.389", "ingestTimestamp" : "2026-06-14T18:50:45.691", "mongoId" : "6a2cbee974d8ee00a0a00083", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cea3d74d8ee00a0a70610", "title" : "Intern, Powertrain Manufacturing", "company" : "Harbinger Motors Inc.", "industry" : "Manufacturing", "salary" : { "min" : 25.0, "max" : 35.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Garden Grove, California, United States", "locations" : [ "Garden Grove", "California", "United States" ], "timestamp" : "2026-06-15T03:25:23.608", "fingerprint" : "34696aa1bb247abb264451f2f0cd8ce2fdaa921673eee212226bbd97008ec3e2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/harbingermotors/jobs/5164336007", "externalId" : "5164336007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Garden Grove", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7746292,-117.9463717" } ], "locationText" : "Garden Grove, California, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Assist in development and design of manufacturing standards, Assist in design of manufacturing processes, Assist in design of manufacturing equipment, Assist in design of manufacturing tooling, Ensure processes meet safety standards, Ensure processes meet quality standards, Ensure processes meet efficiency standards, Support development of work instructions, Support documentation of work instructions, Support development of standard operating procedures, Support documentation of standard operating procedures, Collaborate with cross-functional teams, Identify production issues, Resolve production issues, Assist in design of new tools, Assist in testing of new tools, Assist in validation of new tools, Assist in design of new equipment, Assist in testing of new equipment, Assist in validation of new equipment, Support continuous improvement initiatives, Support lean manufacturing practices, Prepare reports, Prepare presentations", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Powertrain Manufacturing; Electric Drive Unit; Rotor; Stator; Lean manufacturing", "domainList" : [ "powertrain-manufacturing", "electric-drive-unit", "rotor", "stator", "lean-manufacturing" ], "domainSpecificKnowledge" : [ "Powertrain Manufacturing", "Electric Drive Unit", "Rotor", "Stator", "Lean manufacturing" ], "communicationSkills" : "Prepare presentations", "documentationSkills" : "Develop manufacturing standards; Develop documentation; Develop work instructions; Develop standard operating procedures", "problemSolvingSkills" : "Identify production issues; Resolve production issues", "qualificationsBasic" : "Enrolled in Bachelor's degree program or greater in related field, Work authorized in the United States OR ability to obtain J-1/F-1 visa", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Harbinger Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger’s best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation. Job Overview: Location: Immerse yourself in our innovative culture! This role requires a commitment of 4 days in-office per week at our facility in Garden Grove, CA as well as full-time hours (40 hours a week). Duration: 11-14 weeks (Sep 8 to Dec 11 OR Sep 21 to Dec 4) Relocation Support: A $1,000 relocation stipend is available for interns currently residing more than 50 miles from Garden Grove, CA. Compensation: Earn an hourly rate of $25-35 USD per hour Job Summary: We are currently seeking an ambitious engineering student to join our Powertrain Manufacturing team. As an intern, you will support the development and manufacturing of Harbinger’s Electric Drive Unit system, including the rotor and stator. The primary responsibilities for this position will include assisting with the design and testing of production tooling and equipment, developing manufacturing standards and documentation, and supporting cross-functional process improvement efforts. The role also offers the opportunity to build valuable experience at a fast paced, high growth startup during a critical early product development stage. What You'll Do: Assist in the development and design of manufacturing standards, processes, equipment, and tooling for the complete Powertrain system including the Rotor, Stator and Electric Drive Unit. Ensure these processes meet safety, quality, and efficiency standards. Support the development and documentation of work instructions and standard operating procedures (SOPs). Collaborate with cross-functional teams to identify and resolve production issues. Assist in the design, testing, and validation of new tools and equipment. Support the continuous improvement initiatives, including lean manufacturing practices. Prepare reports and presentations to communicate findings and recommendations. What You'll Bring: Enrolled in Bachelor’s degree program or greater in related field Work authorized in the United States OR ability to obtain J-1/F-1 visa Strong analytical and problem-solving skills. Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word). Familiarity with CAD software (e.g., AutoCAD, SolidWorks) is a plus. Excellent communication and teamwork skills. Detail-oriented and able to manage multiple tasks effectively. Equal Opportunity Harbinger is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Harbinger is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at info@harbingermotors.com. Candidate Data Privacy Harbinger may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Harbinger may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Harbinger may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our HR, legal, and finance teams, and the team(s) with the position(s) for which you are applying; (ii) Harbinger affiliates; and (iii) Harbinger’s service providers, including providers of background checks, staffing services, and cloud services. Harbinger may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Harbinger and are not subject to payment of referral or placement fees if any such candidate is later hired by Harbinger unless you have a signed written agreement in place with us which covers the applicable job posting.", "summaryDescription" : "Intern, Powertrain Manufacturing at Harbinger Motors Inc.. Assist in development and design of manufacturing standards. Assist in design of manufacturing processes", "postedDate" : "2026-06-13T22:24:26.114", "createdAt" : "2026-06-13T22:24:26.114", "lastUpdated" : "2026-06-15T03:25:23.608", "ingestTimestamp" : "2026-06-13T22:24:26.114", "mongoId" : "6a2cea3d74d8ee00a0a70610", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 72800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Powertrain Manufacturing", "Electric Drive Unit", "Rotor", "Stator", "Lean manufacturing" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bce74d8ee00a0914a87", "title" : "Manufacturing Engineer Intern", "company" : "Anduril Industries", "industry" : "Manufacturing", "salary" : { "min" : 30000.0, "max" : 40000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ashville, Ohio, United States", "locations" : [ "Ashville", "Ohio", "United States", "Atlanta", "Georgia", "United States", "Boston", "Massachusetts", "United States", "Costa Mesa", "California", "United States", "Irvine", "California", "United States", "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-15T07:17:49.685", "fingerprint" : "1c65202396398e1b78f76d1f75d474d1c1f6e1ef4926669f1f595903b3c9666c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5153218007?gh_jid=5153218007", "externalId" : "5153218007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ashville", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7156186,-82.9529584" } ], "locationText" : "Ashville, Ohio, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Receive problem statements, Perform trade studies, Execute hardware procurement, Test solutions, Verify solutions, Demonstrate solution effectiveness", "teamCollaboration" : "Exposure to engineers; Exposure to technicians", "domainKnowledge" : "Aerospace structures; Carbon fiber composite; Composite structures", "domainList" : [ "aerospace-structures", "carbon-fiber-composite", "composite-structures" ], "domainSpecificKnowledge" : [ "Aerospace structures", "Carbon fiber composite", "Composite structures" ], "qualificationsBasic" : "Bachelors in Aerospace Engineering, Bachelors in Mechanical Engineering, Rising senior status, Return to school after internship, U.S. Person status", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. While this exact role may not be open today, we are always looking ahead and want to connect with talented people like you for future opportunities. We will begin reviewing applications in August 2026 for positions starting in 2027. We highly encourage you to apply early to get a head start! By submitting your application today, you'll be on our radar, and an Anduril recruiter will reach out to you directly as soon as a matching role opens up. We are seeking Manufacturing Engineer Interns for Summer 2027! This is a paid, in-person, 12 week internship. As a Manufacturing Engineer Intern you will work on projects supporting teams designing and building aerospace structures using carbon fiber composite material systems. As an intern you will have direct exposure to engineers designing and analyzing composite structures in aerospace programs, and to technicians manufacturing those structures. WHAT YOU’LL DO Receive problem statements guidelines, requirements, and reporting milestones Independently perform trade studies, designs, and generate solutions for approval Execute the procurement of hardware as necessary to implement solutions Test, verify, and demonstrate the effectiveness of your solutions REQUIRED QUALIFICATIONS Pursuing a Bachelors in Aerospace Engineering, Mechanical Engineering, or any related field Must be a rising senior at the time of the internship and returning to school at the end of the internship to continue academic studies for at least one quarter/semester. U. S. Person status is required as this position needs to access Controlled Unclassified Information. US Salary Range $30—$40 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Manufacturing Engineer Intern at Anduril Industries. Receive problem statements. Perform trade studies", "postedDate" : "2026-06-13T20:48:16.416", "createdAt" : "2026-06-13T20:48:16.416", "lastUpdated" : "2026-06-15T07:17:49.685", "ingestTimestamp" : "2026-06-13T20:48:16.416", "mongoId" : "6a2c6bce74d8ee00a0914a87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 30000, "salaryAnnualMax" : 40000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Aerospace structures", "Carbon fiber composite", "Composite structures" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d024e74d8ee00a0abbc9d", "title" : "Data and AI Marketing Intern", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data and AI Marketing Intern in Alexandria, United States, adjusted for the technology industry." }, "location" : "Alexandria, VA", "locations" : [ "Alexandria, VA" ], "timestamp" : "2026-06-16T06:12:07.063", "fingerprint" : "4f4c4efce6ad0b5bd7f08cf27db19dffaac43726855640ef3a2b30d36e1a76f1", "source" : "jazzhr", "language" : "en", "externalId" : "5wjRGUZ0z4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8051095,-77.0470229" } ], "locationText" : "Alexandria, Virginia, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "summaryDescription" : "Data and AI Marketing Intern", "createdAt" : "2026-06-14T19:12:31.506", "lastUpdated" : "2026-06-16T06:12:07.063", "ingestTimestamp" : "2026-06-14T19:12:31.506", "mongoId" : "6a2d024e74d8ee00a0abbc9d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aaf6174d8ee00a06cc11f", "title" : "SCM Intern -- Data analysis-2", "company" : "Flex", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level SCM Intern in Shanghai, China, adjusted for the manufacturing industry and company size." }, "location" : "China, Shanghai", "locations" : [ "China, Shanghai" ], "timestamp" : "2026-06-14T22:54:22.464", "fingerprint" : "74138c7bbfd53b63b204b1384b2c3d7862614946f8f1c91f1baad98761e85098", "source" : "workday", "language" : "en", "applyUrl" : "https://flextronics.wd1.myworkdayjobs.com/Careers/job/China-Shanghai/SCM-Intern----Data-analysis-2_WD222965", "externalId" : "WD222965", "structuredLocations" : [ { "city" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2312707,121.4700152" } ], "locationText" : "Shanghai, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor Degree", "hardSkillsList" : [ "Data analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis", "majorSkillsList" : [ "Data analysis" ], "coreResponsibilities" : "Download report from system, Make analysis according to requirement, Work with planning team, Secure related reports, Timely report result to manager, Other tasks assigned by manager", "communicationSkills" : "Good Communication skills", "problemSolvingSkills" : "Data analysis", "qualificationsBasic" : "Minimum Bachelor Degree, Good English skills, Good Communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. ## Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a [**P****lanner****Intern**] located in **[Shanghai Jiading****上海嘉定****].** **What a typical day looks like****:** * Download report from system regularly and make analysis according to requirement in standard format. * Work with planning team to secure related reports are always in good trend. * Timely report result to Material and Planning manager. * Other tasks assigned by Material and Planning manager. **The experience we’re looking to add to our team****:** * Minimum Bachelor Degree * Good English skills in both written and spoken * Good Communication skills ## ## Job Category Global Procurement & Supply Chain Required Skills: Optional Skills: Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email [accessibility@flex.com](mailto:accessibility@flex.com) and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).", "summaryDescription" : "SCM Intern -- Data analysis-2 at Flex. Skills: Data analysis. Download report from system. Make analysis according to requirement", "postedDate" : "2026-06-12T03:10:25.904", "createdAt" : "2026-06-12T03:10:25.860", "lastUpdated" : "2026-06-14T22:54:22.464", "ingestTimestamp" : "2026-06-12T03:10:25.860", "mongoId" : "6a2aaf6174d8ee00a06cc11f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://flextronics.wd1.myworkdayjobs.com/Careers/job/China-Shanghai/SCM-Intern----Data-analysis-2_WD222965", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis" ], "skillCount" : 1, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d01bfd2beec4dd3db6015c", "title" : "Business Process Management Intern", "company" : "Mercedes-Benz Cars Middle East FZE", "industry" : "Logistics", "salary" : { "min" : 30000.0, "max" : 60000.0, "currency" : "AED", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Dubai, UAE, adjusted for the logistics industry." }, "location" : "United Arab Emirates-Dubai-Dubai", "locations" : [ "United Arab Emirates-Dubai-Dubai", "P.O.Box 17880, Jebel Ali, N201, P.O. Box 17880, Jebel Ali, Dubai" ], "timestamp" : "2026-06-16T00:29:09.290", "fingerprint" : "6e8080fd6cfc4bc3e673eb2466b97726a7cecb4cefbc56785431f1c23a628037", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=891852", "externalId" : "891852", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "INTERNSHIP", "minimumEducation" : "Post-secondary diploma/degree", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Power BI, Power query, MS Office, MS Excel, MS Powerpoint", "professionalSkills" : [ "Project management", "Data analytics", "Reporting" ], "hardSkillsList" : [ "Data analysis", "Reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Business Process Management, Data Analytics, Reporting", "majorSkillsList" : [ "Business Process Management", "Data Analytics", "Reporting" ], "coreResponsibilities" : "Perform daily tasks for department, Execute daily reporting in Power BI, Conduct daily WIMS file transfer checks, Process adhoc return shipments, Assist BPM team on creating adhoc reports, Assist BPM team on creating presentations, Attend to special requests on reports, Attend to analyses of key figures, Assist BPM team in administration processes, Assist BPM team in documentation processes, Ensure smooth order management, Ensure smooth cancellations, Coordinate as per project requirements, Process order cancellations, Handle related queries, Manage order management, Manage cancellations", "teamCollaboration" : "Cross-functional teams; Project teams; General Distributors Coordination; Global Logistics Center; Internal RLCME departments; Warehouse Coordination", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Supply chain; Logistics IT systems; Order management; Order cancellations", "domainList" : [ "supply-chain", "logistics-it-systems", "order-management", "order-cancellations" ], "domainSpecificKnowledge" : [ "Supply chain", "Logistics IT systems", "Order management", "Order cancellations" ], "toolProficiency" : [ "Power BI", "MS Office", "MS Excel", "MS Powerpoint" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Documentation processes", "continuousLearning" : "Understand logistics IT systems and processes", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Advanced skills in Data analytics and reporting, Advanced skills in MS Office, Excellent oral and written communication in English, Ability to understand IT system landscapes and associated functionalities quickly, Analytical skills to solve problems", "qualificationsPreferred" : "Good supply chain knowledge, Experience working with Supply Chain IT systems or reporting tools, Experience in data analysis is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Your Purpose: You will be expected to support Business Process Management team with daily tasks and data analytics. You will be working in an international environment with close contacts with the Mercedes-Benz AG Logistics headquarters. A day in the RLC work environment, you will be assisting your manager and team members with Performing the assigned daily tasks, providing Project Support and adhoc data analyses and creating reports and management presentations. You will also have the opportunity to understand various logistics IT systems and processes. Some days you’ll be supporting the rest of the team with meeting deadlines & other adhoc tasks. Your Responsibilities: Perform the required daily tasks for department Execute daily reporting in Power BI Conducting the daily WIMS file transfer checks Adhoc return shipment processing Assist BPM team on creating adhoc reports and presentations Attend to special requests on reports and analyses of key figures Assist BPM team in specific administration/documentation processes Communicative relationship: General Distributors Coordination to ensure smooth order management & cancellations Various Project team C oordination as per project requirements Global Logistics Center, Germersheim Order Cancellations and related queries Internal RLCME departments In case of order cancellations & other communicative processes Warehouse Coordination for order management Your Profile: Attributes: Passion Respect Integrity Discipline Strong analytical skills Excellent organizational and project management skills Dedication Commitment Business Perspective Knowledge/Skill/Experience: Good supply chain knowledge, experience working with Supply Chain IT systems or reporting tools will be added advantage. Have advanced skills in Data analytics and reporting – Power BI, Power query etc Have advanced skills in MS Office, preferably in MS Excel & Powerpoint. Excellent oral and written communication in English Ability to understand IT system landscapes and associated functionalities quickly Able to use your analytical skills to solve problems, experience in data analysis is a plus Big picture thinker, go-getter, self-starter Honest, professional and a strong team player Qualification: Currently working towards or have recently completed a post-secondary diploma/degree in Business Administration, Supply Chain Management or equivalent Mercedes-Benz Cars Middle East FZE", "summaryDescription" : "Business Process Management Intern at Mercedes-Benz Cars Middle East FZE. Skills: Business Process Management, Data Analytics, Reporting. Perform daily tasks for department. 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We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit [http://www.vericast.com](http://www.vericast.com/) or follow Vericast on [LinkedIn](https://www.linkedin.com/company/vericastmarketing/) . Process Quality Technician I - * Hourly Pay Rate: $18.00+ DOE + $0.50/hr wage increase eligible after 90 days * Hours: Monday -Friday 8:00am - 4:00pm * Paid Break and Lunch The Process Quality Technician is responsible for supporting the quality group & the teams in the production environment along with using troubleshooting techniques to solve PQ related issues. KEY DUTIES & RESPONSIBILITIES * Required to perform Print, Bindery, Packaging, & Mailroom audits and inspections as outlined in training materials. * Inspect problem runs, perform equipment quality tests, such as motion quality, signal strength, and MICR sampling. * Evaluate and count spoilage. * Support production teams on quality questions. * Produce and process samples for QCS. * Conduct research and root cause analysis. * Attend daily Team Business Meetings (huddles) as the quality resource. * Other duties as assigned. * Research and identify late work. * Run ready to sort reports. EQUIPMENT & SOFTWARE UTILIZED * Computer, keyboard, and mouse * Experience using MS Office ## Qualifications KNOWLEDGE / SKILLS / ABILITIES * Must have good typing skills * Willingness to train with desire to increase knowledge of quality duties * Strong technical and computer knowledge * Attention to detail * Ability to handle confidential information COMMUNICATION &CONTACTS * Excellent communication skills both written and verbal * Must be able to effectively communicate with QCS, Account Managers, and Priority One Managers * Frequently interacts with employees on work team by sharing information both out on the floor and in Team Business Meetings. DECISION MAKING * Ability to make fact based decisions with shift Team Leader PHYSICAL REQUIREMENTS * Include bending, walking, standing and kneeling 8-10 hours a day and lifting up to 20 lbs on occasion. ## Additional Information Applications will be accepted until the posted deadline Monday July 13th, 2026 or until a sufficient candidate pool has been identified. Vericast offers a year-round TEMPERATURE CONTROLLED, BRIGHT, CLEAN manufacturing printing team-based environment. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [talentacquisition@vericast.com](mailto:talentacquisition@vericast.com). EEO is the law. To review your rights under Equal Employment Opportunity please visit: [www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf](http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) #LI-SM1 #LI-Onsite", "summaryDescription" : "Process Quality Technician at Vericast. Skills: Quality control, Process monitoring. Perform quality inspections on incoming materials and finished. 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We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. For more information, visit [http://www.vericast.com](http://www.vericast.com/) or follow Vericast on [LinkedIn](https://www.linkedin.com/company/vericastmarketing/) . Process Quality Technician I - * Hourly Pay Rate: $18.00+ DOE + $0.50/hr wage increase eligible after 90 days * Hours: Monday -Friday 8:00am - 4:00pm * Paid Break and Lunch The Process Quality Technician is responsible for supporting the quality group & the teams in the production environment along with using troubleshooting techniques to solve PQ related issues. KEY DUTIES & RESPONSIBILITIES * Required to perform Print, Bindery, Packaging, & Mailroom audits and inspections as outlined in training materials. * Inspect problem runs, perform equipment quality tests, such as motion quality, signal strength, and MICR sampling. * Evaluate and count spoilage. * Support production teams on quality questions. * Produce and process samples for QCS. * Conduct research and root cause analysis. * Attend daily Team Business Meetings (huddles) as the quality resource. * Other duties as assigned. * Research and identify late work. * Run ready to sort reports. EQUIPMENT & SOFTWARE UTILIZED * Computer, keyboard, and mouse * Experience using MS Office ## Qualifications KNOWLEDGE / SKILLS / ABILITIES * Must have good typing skills * Willingness to train with desire to increase knowledge of quality duties * Strong technical and computer knowledge * Attention to detail * Ability to handle confidential information COMMUNICATION &CONTACTS * Excellent communication skills both written and verbal * Must be able to effectively communicate with QCS, Account Managers, and Priority One Managers * Frequently interacts with employees on work team by sharing information both out on the floor and in Team Business Meetings. DECISION MAKING * Ability to make fact based decisions with shift Team Leader PHYSICAL REQUIREMENTS * Include bending, walking, standing and kneeling 8-10 hours a day and lifting up to 20 lbs on occasion. ## Additional Information Applications will be accepted until the posted deadline Monday July 13th, 2026 or until a sufficient candidate pool has been identified. Vericast offers a year-round TEMPERATURE CONTROLLED, BRIGHT, CLEAN manufacturing printing team-based environment. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers. At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [talentacquisition@vericast.com](mailto:talentacquisition@vericast.com). EEO is the law. To review your rights under Equal Employment Opportunity please visit: [www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf](http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) #LI-SM1 #LI-Onsite", "summaryDescription" : "Process Quality Technician at Vericast. Skills: Quality control, Process improvement. Perform quality inspections on incoming materials. Monitor production processes for quality compliance", "postedDate" : "2026-06-15T16:40:46.000", "createdAt" : "2026-06-15T23:49:56.407", "lastUpdated" : "2026-06-16T09:23:23.956", "ingestTimestamp" : "2026-06-15T23:49:56.407", "mongoId" : "6a3061d9f292fd229cf97fc1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Quality inspection", "Root cause analysis", "Documentation", "Quality control", "Process improvement", "Data analysis", "Manufacturing processes", "Quality control processes", "Microsoft Office Suite", "Quality management software" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055a1f292fd229cf20673", "title" : "Process Mining Data Engineer", "company" : "Celonis", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 240000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Process Mining Data Engineer in Poland, adjusted for the technology industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T12:43:15.521", "fingerprint" : "0ead4df6c40d982df6495bf942d727262b5f232041ba26c4754a39ebb7813676", "source" : "workday", "language" : "en", "applyUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Poland---Krakow/Process-Mining-Data-Engineer_J-019770", "externalId" : "J-019770", "industryFunction" : { }, "locationPoint" : "51.9194,19.1451", "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Celonis EPM, Object-Centric Process Mining, PQL", "professionalSkills" : [ "Process mining development", "Data modeling", "Data extraction", "Data transformation", "Data validation", "Data analysis" ], "hardSkillsList" : [ "Process mining", "Data analytics" ], "hardSkills" : [ { "name" : "Process mining", "level" : "intermediate" }, { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Celonis Process Mining, SQL, Data modeling", "majorSkillsList" : [ "Celonis Process Mining", "SQL", "Data modeling" ], "coreResponsibilities" : "Execute process mining development and engineering activities, Translate business requirements into Celonis solutions, Build and maintain end-to-end process data models, Enable new process data sets, Enhance or update existing data sources, Extract, transform, validate, and analyze data, Support data quality checks, Ensure consistency of process logic, Collaborate with business and functional stakeholders, Clarify requirements, Validate assumptions, Refine solutions, Apply Celonis best practices, Contribute to technical documentation, Develop reusable components, Improve platform continuously, Stay up to date with Celonis capabilities, Explore automation opportunities, Explore execution use cases, Explore AI-enabled insights, Explore Copilot-supported capabilities", "teamCollaboration" : "Global business teams; Functional teams; Global process mining lead; Supply Chain; Order-to-Cash; Procure-to-Pay", "domainKnowledge" : "Process mining; Enterprise Process Mining; SAP tables", "domainList" : [ "process-mining", "enterprise-process-mining", "sap-tables" ], "domainSpecificKnowledge" : [ "Process mining", "Enterprise Process Mining", "SAP tables" ], "toolProficiency" : [ "Celonis EPM", "SAP" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Staying up to date with Celonis capabilities and emerging features", "innovationCreativity" : "Automation; Execution use cases; AI-enabled insights; Copilot-supported capabilities", "problemSolvingSkills" : "Analytical mindset", "outcomesObjectives" : "Enable end-to-end process transparency; Standardize insights; Enable execution-oriented use cases", "qualificationsBasic" : "Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics, Hands-on experience with Celonis Process Mining, including Object-Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts, SQL skills with practical experience in data extraction, transformation, validation, and analysis, Fluent English", "qualificationsPreferred" : "Experience working with SAP, including exposure to SAP tables is a plus, Experience in automation, AI-enabled analytics, or Copilot-supported solution", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** : **_Role Overview:_ ** The **Process Mining Data Engineer** will be responsible for building and maintaining scalable process mining solutions within the **Celonis Enterprise Process Mining (EPM)** environment. This role supports the expansion of process mining capabilities across the organization by enabling end‑to‑end process transparency, standardized insights, and execution‑oriented use cases. Working under the direction of the **Global Process Mining Lead** , the role translates pre‑approved, prioritized business requirements into robust and high‑quality Celonis assets. Collaboration with global business and functional teams is key to ensure solutions are reliable, performant, and aligned to enterprise standards. **Do you think you’re the right fit for this opportunity? Apply today!** ** _Role Responsibilities:_ ** **As a ****Process Mining Data Engineer****, you will be responsible for:** * Executing process mining development and engineering activities under the direction of the **Global Process Mining Lead** * Translating approved business requirements into scalable Celonis solutions, including applications, analyses, dashboards, alerts, action and approval flows, email automations, and write‑backs * Building and maintaining end‑to‑end process data models within Celonis EPM * Enabling new process data sets and enhancing or updating existing data sources already loaded into Celonis * Using SQL to extract, transform, validate, and analyze data from source systems * Supporting data quality checks and ensuring consistency of process logic across use cases * Collaborating closely with business and functional stakeholders (e.g. Supply Chain, Order‑to‑Cash, Procure‑to‑Pay) to clarify requirements, validate assumptions, and refine solutions * Applying Celonis best practices and enterprise standards * Contributing to technical documentation, reusable components, and continuous platform improvements * Staying up to date with Celonis capabilities and emerging features * Exploring opportunities related to automation, execution use cases, AI‑enabled insights, and Copilot‑supported capabilities (optional / emerging) ** _Experience and Competencies:_ ** **What we are looking for:** * Bachelor’s degree or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field, or equivalent practical experience in process mining or data analytics * Hands‑on experience with Celonis Process Mining, including Object‑Centric Process Mining (OCPM), PQL, and Celonis data modeling concepts * Strong SQL skills with practical experience in data extraction, transformation, validation, and analysis * Fluent English with the ability to work effectively in a global, multicultural environment * Strong analytical mindset with high attention to detail * Experience working with SAP, including exposure to SAP tables is a strong plus * Experience in automation, AI‑enabled analytics, or Copilot‑supported solution **What next?** If you would like to join an innovative, collaborative and multicultural team, please apply now. Your application will be forwarded to a Talent Acquisition Partner, who will strive to get back to you as soon as they can. We understand that applying for a new job is a big decision and we will work hard to keep you updated and support you along the way. ** _About Us:_ ** At Huntsman, we pride ourselves on being a people-oriented organization. Our family-like atmosphere is cultivated by our diverse groups of team members around the world. We welcome the talent, experience and fresh ideas that employees at all stages of their careers, from interns to seasoned professionals, bring to Huntsman. In return, we offer you the opportunity to become an integral part of a dynamic, industry-leading company, where safety and ethics always come first. **Additional Locations:**", "summaryDescription" : "Process Mining Data Engineer at Celonis. Skills: Celonis Process Mining, SQL, Data modeling. Execute process mining development and engineering activities. Translate business requirements into Celonis solutions", "postedDate" : "2026-06-16T03:47:04.339", "createdAt" : "2026-06-16T03:47:04.331", "lastUpdated" : "2026-06-16T12:43:15.521", "ingestTimestamp" : "2026-06-16T03:47:04.331", "mongoId" : "6a3055a1f292fd229cf20673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://huntsman.wd1.myworkdayjobs.com/Huntsman/job/Poland---Krakow/Process-Mining-Data-Engineer_J-019770", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Process mining", "Data analytics", "Celonis Process Mining", "SQL", "Data modeling", "Process mining development", "Data extraction", "Data transformation", "Data validation", "Data analysis", "Enterprise Process Mining", "SAP tables", "Celonis EPM", "SAP" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c79a074d8ee00a09420b7", "title" : "Manufacturing Technician", "company" : "Wedgewood Pharmacy", "industry" : "Pharma", "salary" : { "min" : 19.0, "max" : 21.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Albany, OH", "locations" : [ "Albany", "OH" ], "timestamp" : "2026-06-15T11:20:26.119", "fingerprint" : "0aedad788d649f3c24890f8ce5e725b6a00ea144c1940dde6d68c0c88ca71364", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wedgewoodpharmacy/jobs/4248542009", "externalId" : "4248542009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Albany", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.2275735,-82.2023695" } ], "locationText" : "Albany, Ohio, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Sterile manufacturing processes" ], "hardSkills" : [ { "name" : "Sterile manufacturing processes", "level" : "intermediate" } ], "majorSkills" : "Cleanroom environment, CGMP, SOPs", "majorSkillsList" : [ "Cleanroom environment", "CGMP", "SOPs" ], "coreResponsibilities" : "Prepare sterile veterinary medications, Fill sterile veterinary medications, Inspect sterile veterinary medications, Package sterile veterinary medications, Follow SOPs, Follow batch records, Maintain production documentation, Maintain traceability records, Monitor equipment, Report equipment issues, Keep workspaces organized, Keep workspaces aseptic", "teamCollaboration" : "Collaborative environment", "domainKnowledge" : "cGMP; Regulated production environments; Sterile manufacturing processes", "domainList" : [ "cgmp", "regulated-production-environments", "sterile-manufacturing-processes" ], "domainSpecificKnowledge" : [ "cGMP", "Regulated production environments", "Sterile manufacturing processes" ], "documentationSkills" : "Production documentation", "continuousLearning" : "Tuition reimbursement", "qualificationsBasic" : "High school diploma or GED", "qualificationsPreferred" : "1+ year experience in manufacturing, Sterile production experience, Cleanroom environments experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Wedgewood Pharmacy, we are dedicated to improving the lives of animals through customized medication and compassionate care. Every role in our organization contributes to helping pets live healthier, happier lives. We are a team driven by purpose, quality, and a shared commitment to animal health. We are looking for a Manufacturing Technician to join our team. You will support our mission by ensuring high-quality execution of daily tasks, maintaining accuracy, and fostering a collaborative environment focused on patient care and continuous improvement. The Basics Job Type: Full Time Schedule: Monday–Friday, 6:00 AM - 2:30 PM. Shift patterns may change in the future as the site continues to grow. Benefits: Eligible How You’ll Make an Impact Prepare, fill, inspect, and package sterile veterinary medications in a cleanroom environment. Follow SOPs and batch records to ensure product quality, accuracy, and regulatory compliance. Maintain detailed production documentation and traceability records. Monitor equipment and report issues to prevent downtime or product defects. Keep workspaces organized and aseptic, adhering to 5S and cleanroom standards. What We’re Looking For High school diploma or GED required. 1+ year experience in manufacturing, sterile production, or cleanroom environments preferred. Knowledge of cGMP, regulated production environments, or sterile manufacturing processes. Strong attention to detail and ability to thrive in a fast-paced environment. Collaborative mindset and commitment to team success. What You’ll Love About Wedgewood A comprehensive benefits package including health, dental, and flexible spending accounts. 401(k) retirement plan with a generous company contribution. Company-paid life and disability insurance. Access to voluntary insurance options. A generous paid time off program that increases every year. Tuition reimbursement. Opportunities for growth through our internal job posting program. #hp Pay Range $19—$21 USD Why We Do What We Do At Wedgewood Pharmacy, your work has purpose. Every prescription you help prepare, support, or deliver contributes to improving the health and well-being of animals. We are passionate about what we do and proud to build a workplace where people feel supported, included, and valued. Our Commitment to Inclusion Wedgewood Pharmacy is an equal opportunity employer. We are committed to building a diverse and inclusive workplace where everyone can thrive.", "summaryDescription" : "Manufacturing Technician at Wedgewood Pharmacy. Skills: Cleanroom environment, CGMP, SOPs. Prepare sterile veterinary medications. Fill sterile veterinary medications", "postedDate" : "2026-06-14T08:06:30.359", "createdAt" : "2026-06-14T08:06:30.359", "lastUpdated" : "2026-06-15T11:20:26.119", "ingestTimestamp" : "2026-06-14T08:06:30.359", "mongoId" : "6a2c79a074d8ee00a09420b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 21, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Sterile manufacturing processes", "Cleanroom environment", "CGMP", "SOPs", "cGMP", "Regulated production environments" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cc274d8ee00a091b2cd", "title" : "Pipelayer - Wet Utilities", "company" : "Muller, Inc.", "salary" : { "min" : 54000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Pipelayer - Wet Utilities in Manassas, United States, adjusted for the construction industry." }, "location" : "Manassas, Virginia, United States", "locations" : [ "Manassas", "Virginia", "United States" ], "timestamp" : "2026-06-15T06:59:51.072", "fingerprint" : "675f53282fffe0fe8dd9b5670b6d14727afb18c438dac20834e41a4c09644786", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/mullerinc/jobs/7771641003", "externalId" : "7771641003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manassas", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7509488,-77.4752667" } ], "locationText" : "Manassas, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Pipe laying techniques" ], "hardSkills" : [ { "name" : "Pipe laying techniques", "level" : "intermediate" } ], "majorSkills" : "Wet Utilities, Pipe installation", "majorSkillsList" : [ "Wet Utilities", "Pipe installation" ], "coreResponsibilities" : "Ensure job site safety, Ensure proper excavation, Ensure proper compaction, Install sanitary sewer structures, Install storm water sewer structures, Install pipe systems, Cut pipes to required lengths, Assist in aligning pipes, Align pipes during construction, Position pipes for welding, Position pipes for sealing, Check slopes for conformance, Connect pipe pieces, Seal pipe joints, Tap holes into pipes, Drill holes into pipes, Cover pipes with earth, Cover pipes with materials, Grade trench bases, Level trench bases, Train others in pipe-laying", "domainKnowledge" : "Sanitary sewer systems; Storm water sewer systems; Pipeline construction", "domainList" : [ "sanitary-sewer-systems", "storm-water-sewer-systems", "pipeline-construction" ], "domainSpecificKnowledge" : [ "Sanitary sewer systems", "Storm water sewer systems", "Pipeline construction" ], "toolProficiency" : [ "Levels", "Lasers", "Tamping machines" ], "continuousLearning" : "Ongoing training; Career development", "specialRequirements" : "Report directly to job sites", "qualificationsBasic" : "Authorized to work in US, Physically fit for manual labor, Heavy lifting up to 50 lbs, Sit and stand regularly, Use hands to fingers, Verbally communicate and listen, Walking, climbing or balancing, Stooping, kneeling, crouching or crawling, Distance vision, Color vision, Peripheral vision, Depth perception, Ability to adjust focus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Responsibilities: Ensure job site safety Ensure proper excavation & compaction procedures are performed Install sanitary and storm water sewer structures and pipe systems Cut pipes to required lengths Assist in aligning pipes during pipeline construction Align and position pipes to prepare them for welding or sealing Check slopes for conformance to requirements, using levels or lasers Connect pipe pieces and seal joints, using welding equipment, cement, fittings, or glue Tap and drill holes into pipes to introduce auxiliary lines or devices Cover pipes with earth or other materials Grade and level trench bases, using tamping machines and hand tools Train others in pipe-laying techniques Requirements: Must be authorized to work in the United States Must be able to report directly to jobsties Physical Requirements: Employee must be physically fit to perform manual labor in all types of environments and conditions, including heavy lifting (up to 50 lbs.). Regularly required to sit and stand, must be able to use hands to fingers, handle or feel, and verbally communicate and listen. Other physical requirements include walking, climbing or balancing and stooping, kneeling, crouching or crawling. Specific vision abilities required by the position include distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus. Compensation & Benefits: Competitive pay based on experience and certifications Full benefits package (Medical, Dental, Vision, Life) Supplemental coverage (Short-Term Disability, Accident, Critical Illness, Hospital Confinement) Paid Time Off 401(k) with company match Ongoing training and career development opportunities", "summaryDescription" : "Pipelayer - Wet Utilities at Muller, Inc.. Skills: Wet Utilities, Pipe installation. Ensure job site safety. Ensure proper excavation", "postedDate" : "2026-06-14T02:54:22.563", "createdAt" : "2026-06-14T02:54:22.563", "lastUpdated" : "2026-06-15T06:59:51.072", "ingestTimestamp" : "2026-06-14T02:54:22.563", "mongoId" : "6a2c6cc274d8ee00a091b2cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Pipe laying techniques", "Wet Utilities", "Pipe installation", "Sanitary sewer systems", "Storm water sewer systems", "Pipeline construction", "Levels", "Lasers", "Tamping machines" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cecd374d8ee00a0a7c0a2", "title" : "Manufacturing Data Entry", "company" : "InsulTech", "industry" : "Manufacturing", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Manufacturing Data Entry role in Santa Ana, CA, adjusted for industry and company size." }, "location" : "Santa Ana, CA", "locations" : [ "Santa Ana", "CA" ], "timestamp" : "2026-06-16T02:46:28.317", "fingerprint" : "13652b084ab2c9b7275c4f6b21a156fb2dbf494669b2f552e9dcdb0fdaabdfa7", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://insultech.breezy.hr/p/60bca12ff8ae-manufacturing-data-entry", "externalId" : "60bca12ff8ae", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Ana", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7494951,-117.8732210" } ], "locationText" : "Santa Ana, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Accurate entry of data, Perform directed tasks for planning team", "outcomesObjectives" : "Ensure production schedules are met", "qualificationsBasic" : "Energetic, Analytical, Detail-oriented", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to join our Operations team. This is a key role focused on accurate entry of data and performing directed tasks for the planning team. This team ensures production schedules are met and that any obsta", "summaryDescription" : "Manufacturing Data Entry at InsulTech. Accurate entry of data. Perform directed tasks for planning team", "createdAt" : "2026-06-14T21:05:49.856", "lastUpdated" : "2026-06-16T02:46:28.317", "ingestTimestamp" : "2026-06-14T21:05:49.856", "mongoId" : "6a2cecd374d8ee00a0a7c0a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 38000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4972beec4dd3d931a27", "title" : "Senior BD - Process Manufacturing", "company" : "AWS India", "industry" : "Sales, Advertising, Account Management, Business/Merchant Development, Cloud Computing", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior BD roles in Technology in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-14T23:43:57.105", "fingerprint" : "3d95f7e6399276cd1da6c61d749c5af124f96634ffaa3077f6e8a22add1b7803", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384889/apply", "externalId" : "571e949b-49e2-44bc-a141-5eb0ea24ea5d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Cloud, AI", "professionalSkills" : [ "Business development", "Sales", "End-customer technology adoption", "Technology solutions", "Value chain systems", "Business functions", "Technology solutions", "System integrators", "Solutions vendors", "Service offerings", "Sales acceleration", "Service offerings", "Solutioning", "Partner network" ], "hardSkillsList" : [ "Process optimization", "Energy management", "Safety monitoring", "Compliance monitoring", "Mine-to-market operations", "Program oversight", "Commercial exposure", "Business case creation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Energy management", "level" : "intermediate" }, { "name" : "Safety monitoring", "level" : "intermediate" }, { "name" : "Compliance monitoring", "level" : "intermediate" }, { "name" : "Mine-to-market operations", "level" : "intermediate" }, { "name" : "Program oversight", "level" : "intermediate" }, { "name" : "Commercial exposure", "level" : "intermediate" }, { "name" : "Business case creation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business development, Sales, Manufacturing Process Industry", "majorSkillsList" : [ "Business development", "Sales", "Manufacturing Process Industry" ], "coreResponsibilities" : "Position AWS as partner, Coach account teams, Define strategic direction, Lead pre-sales activities, Support lead-generation activities, Influence downstream activities, Identify requirements for offerings, Define requirements for offerings, Conduct executive workshops, Translate into priority areas, Position AWS in industries, Participate in conferences, Deliver AWS-based solutions, Support AWS Partner Network, Support technology providers, Understand Salesforce usage, Manage pipeline, Prepare business reviews, Present business reviews, Define strategic direction, Engage strategic stakeholders, Co-create transformation roadmaps, Lead pre-sales activities, Support lead-generation activities, Influence downstream activities", "teamCollaboration" : "Cross-functional teams; People at all levels; AWS Marketing; AWS Professional Services; AWS services teams; Partners; Amazon product teams; AWS technical experts; AWS Partner Network; Industry technology providers", "projectManagementSkills" : [ "Program oversight", "Commercial exposure", "Business case creation" ], "domainKnowledge" : "Manufacturing Process Industry; Production planning; Asset management; Quality control; Supply chain optimization; Operational technology (OT); Predictive maintenance; Process optimization; Energy management; Safety monitoring; Compliance monitoring; Mine-to-market operations; Cloud technologies; MES; SCADA; PLCs; Industrial IoT", "domainList" : [ "manufacturing-process-industry", "production-planning", "asset-management", "quality-control", "supply-chain-optimization", "operational-technology-ot", "predictive-maintenance", "process-optimization", "energy-management", "safety-monitoring", "compliance-monitoring", "mine-to-market-operations", "cloud-technologies", "mes", "scada", "plcs", "industrial-iot" ], "domainSpecificKnowledge" : [ "Manufacturing Process Industry", "Production planning", "Asset management", "Quality control", "Supply chain optimization", "Operational technology (OT)", "Predictive maintenance", "Process optimization", "Energy management", "Safety monitoring", "Compliance monitoring", "Mine-to-market operations", "Cloud technologies", "MES", "SCADA", "PLCs", "Industrial IoT" ], "toolProficiency" : [ "Salesforce", "Internal Amazon systems" ], "communicationSkills" : "Executive presentations; Public speaking", "specialRequirements" : "Up to 50% travel", "qualificationsBasic" : "10+ years technology sales/BD, Bachelor's degree or equivalent, Experience verbal/written communication, Experience working cross-functional teams, 5+ years customer interactions, Demonstrated understanding Manufacturing workflows, Demonstrated understanding cloud technologies", "qualificationsPreferred" : "10+ years business development/partnership management, MBA or relevant Bachelor's, Experience selling cloud solutions, Direct professional services/consulting experience, Knowledge of top ISVs/SIs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, and the leader in providing secure, reliable, scalable, and innovative cloud services that help more than a million businesses across the global scale and grow. We are expanding in several areas, and our Industry team in India is looking for a seasoned industry leader with experience in business development/sales, driving top line growth and overall end-customer technology adoption across Manufacturing Process Industries including Metals, Mining, Minerals and related sectors. The ideal candidates will possess a strong business development/sales background and Manufacturing Process Industry technology experience that will enable them to engage directly with customers, coach sales teams, and lead tactical and strategic initiatives to deliver innovative solutions to the Manufacturing Process Industry. The ideal candidate will have demonstrated experience in designing and deploying technology solutions that support multiple areas within the Manufacturing Process Industry technology landscape. • Knowledge of the critical systems needed to support the Manufacturing Process Industry across the value chain including production planning, asset management, quality control, supply chain optimization, and operational technology (OT) systems. • Understanding of the workflows needed to support the various business functions within Manufacturing Process Industries including predictive maintenance, process optimization, energy management, safety and compliance monitoring, and mine-to-market operations. • Understanding of the business, technical, and operations needs of Manufacturing Process Industry customers in India, with ability to translate into technology solutions powered by cloud and AI. • Relationships with, and an understanding of, key system integrators and independent solutions vendors in the Manufacturing Process Industry, to include an understanding of top named ISV solutions, and SI-led service offerings. Key job responsibilities Effectively position AWS as a strategic and trusted partner to our India Manufacturing Process Industry customers. Coach account teams and help define the strategic direction for top accounts, with a focus on line-of-business solutions and business sponsors. Lead pre-sales activities for Manufacturing Process Industry accounts, work with AWS Marketing to support lead-generation and sales-acceleration activities, and influence downstream activities with global and multi-national customers. Identify and help define the requirements for new service or packaged offerings, in collaboration with the Manufacturing Process Industry Market Development team, AWS Professional Services, AWS services teams, partners, and Amazon product teams. Conduct executive workshops with industry leaders and executives and translate into priority areas for transformation and innovation. Effectively position AWS in Manufacturing Process Industries through participation in industry conferences, executive briefings, and other public speaking opportunities. Work closely with AWS technical experts in solutioning, developing, and delivering AWS-based solutions to customers. Support the AWS Partner Network and key industry technology providers with their solutions and service line offerings developed and running on AWS. Understand and exploit the use of Salesforce and internal Amazon systems for campaign tracking and pipeline management. Prepare and present business reviews to senior management regarding progress and roadblocks. Travel may be required for this role, up to 50%. A day in the life Define the strategic direction for top Manufacturing Process Industry accounts, with a focus on line-of-business solutions and business sponsors. Identify and Engage with strategic stakeholder in priority accounts with aim to engage them on business critical challenges and co-create transformation roadmaps that align AWS capabilities with their strategic priorities. Lead pre-sales activities for Manufacturing Process Industry accounts, work with AWS Marketing to support lead-generation and sales-acceleration activities, and influence downstream activities with global and multi-national customers. Basic Qualifications: - 10+ years of technology related sales, business development or equivalent experience - Bachelor's degree in a relevant field or equivalent work experience - Experience in verbal and written communication for executive level leaders - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - 5+ years of experience in customer-related interactions (presentations, building relationships, structuring and providing program oversight, working with partners, statements of work/commercial exposure, business case creation and presentation, and technical pre-sales). - Demonstrated understanding of Manufacturing Process Industry workflows or value chains, and related technologies including MES, SCADA, PLCs, and Industrial IoT. - Demonstrated understanding of cloud technologies, and their current or future application in Manufacturing Process Industries. Preferred Qualifications: - 10+ years of business development, partnership management, or sourcing new business experience - MBA, or Bachelor's degree in management, business administration, economics, engineering, marketing - Experience selling cloud solutions - Direct professional services or consulting experience in large-scale transformation programs for leading Manufacturing Process Industry companies in India. - Knowledge of the top ISVs and SIs in the Manufacturing Process Industry and their relevant offerings Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior BD - Process Manufacturing at AWS India. Skills: Business development, Sales, Manufacturing Process Industry. Position AWS as partner. Coach account teams", "postedDate" : "2026-06-13T07:48:05.008", "createdAt" : "2026-06-13T07:48:05.008", "lastUpdated" : "2026-06-14T23:43:57.105", "ingestTimestamp" : "2026-06-13T07:48:05.008", "mongoId" : "69d5e4972beec4dd3d931a27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384889/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Process optimization", "Energy management", "Safety monitoring", "Compliance monitoring", "Mine-to-market operations", "Program oversight", "Commercial exposure", "Business case creation", "Leadership", "Business development", "Sales", "Manufacturing Process Industry", "End-customer technology adoption", "Technology solutions", "Value chain systems", "Business functions", "System integrators", "Solutions vendors", "Service offerings", "Sales acceleration", "Solutioning", "Partner network", "Production planning", "Asset management", "Quality control", "Supply chain optimization", "Operational technology (OT)", "Predictive maintenance", "Cloud technologies", "MES", "SCADA", "PLCs", "Industrial IoT", "Salesforce", "Internal Amazon systems" ], "skillCount" : 35, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing Process Industries" }, { "id" : "6a2c94e874d8ee00a098bdf5", "title" : "Financial Performance and Analysis", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Performance and Analysis role in Madrid, Spain, adjusted for the FinTech industry." }, "location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-15T09:26:43.034", "fingerprint" : "d7381340f9999217e17b528557279df139e22bc370b91841aa7b793c17934513", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4751604101", "externalId" : "4751604101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "minimumEducation" : "Bachelor's", "softSkillsList" : [ "Clear communication", "Analytical mindset" ], "softSkills" : [ { "name" : "Clear communication" }, { "name" : "Analytical mindset" } ], "teamCollaboration" : "FP&A teams; Finance & Accounting teams; Finance Tech teams; Regional teams", "domainKnowledge" : "Payment solutions; Fintech; Acquiring hub", "domainList" : [ "payment-solutions", "fintech", "acquiring-hub" ], "domainSpecificKnowledge" : [ "Payment solutions", "Fintech", "Acquiring hub" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Identify data inconsistencies; Identify structural effects; Identify model-related issues", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. At Getnet, we are looking for a Financial Performance and Analysis to join our team in Madrid. \uD83D\uDCCCWhat you'll do Financial Model Architecture: maintain and evolve the financial model structure and driver logic used for performance analysis, forecasting and planning. Data Integrity & Consistency: ensure consistency and reliability of data across actuals, forecast and planning cycles through validation and reconciliation. Assumptions & Calculations Validation: review and validate assumptions, calculations and model behaviour to ensure financial coherence. Regional Coordination & Consolidation: coordinate and consolidate financial inputs from countries and regions, applying and explaining consolidation rules. Performance: contribute to financial performance activities by clarifying model-related drivers and structural effects behind deviations. Forecast & Planning: work closely with planning to reflect planning assumptions and scenarios accurately within the financial model. Process & Tool Improvement: collaborate with Finance Tech to improve data quality, automation and robustness across FP&A processes. What we are looking for Experience Strong track record in FP&A, financial modelling, controlling or planning roles. Exposure to actuals, forecast and planning cycles. Experience using planning tools (Oracle EPM or similar) is a plus Experience working with financial data from multiple countries or business units. Education, knowledge and skills Bachelor’s degree in Finance, Economics, Business Administration, Engineering or a related field. A Master’s degree in Finance, Corporate Finance, Business Analytics or similar is a plus. Knowledge of Power BI, Power Query, SQL, Oracle, Databricks or similar tools is an advantage. Solid financial modelling skills and understanding of P&L structure and key drivers. Strong skills and ability to work with structured financial data. Understanding of forecasting logic, assumptions and sensitivities. Ability to identify data inconsistencies, structural effects and model-related issues. Clear communication skills and ability to work with FP&A, Finance & Accounting, Finance Tech and regional teams. Proactive attitude, attention to detail and analytical mindset. \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Financial Performance and Analysis at Getnet", "postedDate" : "2026-06-14T04:54:16.069", "createdAt" : "2026-06-14T04:54:16.069", "lastUpdated" : "2026-06-15T09:26:43.034", "ingestTimestamp" : "2026-06-14T04:54:16.069", "mongoId" : "6a2c94e874d8ee00a098bdf5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Clear communication", "Analytical mindset", "Payment solutions", "Fintech", "Acquiring hub" ], "skillCount" : 5, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb6bd74d8ee00a09f2ecb", "title" : "Solar Data Intern", "company" : "Energy Solutions", "industry" : "Climate Tech", "salary" : { "min" : 36000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Based on entry-level internship compensation for the Climate Tech industry in the United States, adjusted for remote work." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:56:29.248", "fingerprint" : "0f726c5c6f633065071ae694505befd53cae78bbc1e66c68da56f0cc72b802d6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/energysolutionsinternships/jobs/5142309007", "externalId" : "5142309007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data pipelines, Build and maintain data models, Perform data analysis, Create reports and dashboards, Collaborate with stakeholders, Assist with machine learning model development, Contribute to data quality initiatives, Document data processes and findings", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams", "domainKnowledge" : "Solar energy data", "domainList" : [ "solar-energy-data" ], "domainSpecificKnowledge" : [ "Solar energy data" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Present findings", "documentationSkills" : "Document data processes", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, SQL proficiency, 2+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we’ve harnessed that power to offer proven, performance-based solutions for our utility, government, and institutional customers. Are you data-driven, technically minded, and eager to improve one of the biggest affordable solar programs in the United States? Then join our team as a Solar Data Intern! Your efforts will directly contribute to the launch of a high-profile program with state-wide impacts. Energy Solutions has recently won work which requires mapping new program data into our current portal. Success means translating large datasets from one system to another—and maintaining data integrity. That’s where you come in! In this part-time (15-30 hours/week, ideally between Monday and Thursday) role, you’ll organize, clean, and validate essential datasets to ensure they map successfully from their former system into ours. In doing so, you’ll identify trends, investigate discrepancies, and propose deliverables by cross-collaborating with a variety of teams within Energy Solution’s largest program. Such teams could include Renewable Energy Credit (REC) Contracts, Application Processing, Consumer Protection, Strategy anything that you wrote—whether for a class, a job, or for personal reasons—and are proud of will probably suffice. Focus on a topic important to you. The topic does not have to be related to the Internship you are applying for, but if it is, all the better. Our Fall 2026 Internship opportunities close on June 26, 2026 at 5:00 PM PST! We will not accept late applications or make exceptions regarding the criteria. We reserve the right to close our applications before the deadline. Please reach out to internships@energy-solution.com with any questions. Applications sent in via email or past the deadline will not be accepted. If you are interested in a Summer position, check our website later this year. Our Summer 2026 program application cycle opened in October 2025. AI Use At Energy Solutions we believe in the importance of authentic interactions and equitable opportunities. We base our candidate selection on one’s own skills, knowledge, and experience. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience can truly shine. Background Check Information Information will be requested to perform the compulsory background check. A drug screen and authorization to work in the U. S. indefinitely are preconditions of employment. Energy Solutions is an equal opportunity employer. Reasonable Accommodations Energy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require an accommodation in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodation@energy-solution.com. Privacy Notice for Job Applicants", "summaryDescription" : "Solar Data Intern at Energy Solutions. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data pipelines. Build and maintain data models", "postedDate" : "2026-06-14T20:12:27.997", "createdAt" : "2026-06-14T20:12:27.997", "lastUpdated" : "2026-06-16T01:56:29.248", "ingestTimestamp" : "2026-06-14T20:12:27.997", "mongoId" : "6a2cb6bd74d8ee00a09f2ecb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Modelling skills", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Machine learning", "Analytics engineering", "Quantitative analysis", "Solar energy data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d690c74d8ee00a0bd0205", "title" : "Manufacturing Technician", "company" : "Applied Materials", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Manufacturing Technician in Singapore, adjusted for the technology industry and company size." }, "location" : "Singapore,SGP", "locations" : [ "Singapore,SGP" ], "timestamp" : "2026-06-16T00:09:57.892", "fingerprint" : "8599e1bf39242347a7c20e943b1aa26ad0b5d0f66f64f5e5efdc9f01f44521ff", "source" : "workday", "language" : "en", "applyUrl" : "https://amat.wd1.myworkdayjobs.com/External/job/SingaporeSGP/Manufacturing-Technician_R2613984", "externalId" : "R2613984", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Who We Are** Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. **What We Offer** Location: Singapore,SGP You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our [_benefits_](https://hrportal.ehr.com/applied/). As a Manufacturing Technician, you'll work hands-on in a cleanroom environment to build and test our multimillion-dollar display and wafer fabrication equipment that’s behind the technology we use every day. You'll be responsible for building, repairing, and testing various types of equipment--including electrical, electro-mechanical, vacuum, and pneumatic assemblies, subassemblies, and components. You will perform electro-mechanical assembly operations, troubleshooting, and repairs-- and perform audits to ensure necessary parts are available and inspected for defects. Using test fixtures, electronic measurement equipment, leak detectors, and vacuum pumps you'll test assemblies, complete documentation, perform repairs, or install software to continuously improve our processes. **Role Responsibilities: ** * Use work orders (including schematics, wiring diagrams, parts lists, and instructions) to build, repair and/or test equipment of various kinds (electrical, electro-mechanical, vacuum, pneumatic assemblies, subassemblies and components) * Work under moderate supervision to perform electro-mechanical assembly operations, troubleshooting and repairs * Receive parts and perform audits to ensure all necessary parts are available; inspect parts for defects; troubleshoot and improve processes * Use test fixtures, electronic measurement equipment, leak detectors and/or vacuum pumps to test assemblies, subassemblies and components * Complete required job documentation (data entry) about progress, work expense and labor details; perform computer programming, repair or software installs, if needed **Minimum Qualifications: ** * A high school diploma * 1–2 years of semiconductor or display experience, or comparable industry or military experience * Ability to follow standard operation procedures (written and verbal) * Knowledge of basic hand tools **Preferred Qualifications: ** * An Associate’s degree or technical education, certifications or trainings * A willingness to expand your skills within an analytical/scientific method or operational process * Solid analytical skills, and an ability to problem-solve using established operating procedures or scientific methods * ASSEET * BSEET (DeVry, TSTC) **Physical Requirements: ** This is a physically demanding position that often requires standing for extended periods of time, walking, working in tight spaces, bending, squatting, twisting, kneeling, reaching, climbing stairs and ladders, lifting, the ability to distinguish between colors, the ability to work in an environment with noise that may be difficult for some individuals with sensitivity to noise, the use of hand and power tools, and driving or operating heavy machinery including forklifts. Additionally, because this position may involve working in a clean room, the use of appropriate Personal Protective Equipment such as coveralls, hoods, booties, safety glasses, gloves, respirators, chemical aprons, and face shields may be required. **Additional Information** **Time Type:** Full time **Employee Type:** Assignee / Regular **Travel:** Not Specified **Relocation Eligible:** No Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.", "summaryDescription" : "Manufacturing Technician at Applied Materials", "postedDate" : "2026-06-13T18:52:27.926", "createdAt" : "2026-06-14T18:52:27.912", "lastUpdated" : "2026-06-16T00:09:57.892", "ingestTimestamp" : "2026-06-14T18:52:27.912", "mongoId" : "6a2d690c74d8ee00a0bd0205", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://amat.wd1.myworkdayjobs.com/External/job/SingaporeSGP/Manufacturing-Technician_R2613984", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cecd374d8ee00a0a7c0a3", "title" : "Manufacturing Data Entry", "company" : "InsulTech", "industry" : "Manufacturing", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Manufacturing Data Entry role in Yuma, United States, adjusted for industry and company size." }, "location" : "Yuma, AZ", "locations" : [ "Yuma", "AZ" ], "timestamp" : "2026-06-15T13:04:51.321", "fingerprint" : "1959659df457b848727ad7f24fdfde0964e083caee50ff777b7becd3c6242699", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://insultech.breezy.hr/p/d3670c62c42b-manufacturing-data-entry", "externalId" : "d3670c62c42b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Yuma", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7254216,-114.6198088" } ], "locationText" : "Yuma, Arizona, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Data entry", "Accurate data entry" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Accurate data entry", "level" : "intermediate" } ], "majorSkills" : "Data entry, Production scheduling", "majorSkillsList" : [ "Data entry", "Production scheduling" ], "coreResponsibilities" : "Enter data accurately, Perform directed tasks", "teamCollaboration" : "Planning team", "domainKnowledge" : "Production schedules", "domainList" : [ "production-schedules" ], "domainSpecificKnowledge" : [ "Production schedules" ], "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Ensure production schedules are met", "qualificationsBasic" : "Energetic individual, Analytical individual, Detail-oriented individual", "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to join our Planning team. 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Perform directed tasks", "createdAt" : "2026-06-14T01:12:44.912", "lastUpdated" : "2026-06-15T13:04:51.321", "ingestTimestamp" : "2026-06-14T01:12:44.912", "mongoId" : "6a2cecd374d8ee00a0a7c0a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 36000, "salaryAnnualMax" : 48000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data entry", "Accurate data entry", "Production scheduling", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Production schedules" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c772974d8ee00a093be51", "title" : "Data Analytics Process Lead", "company" : "CARIAN", "industry" : "PMO", "salary" : { "min" : 120000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, NJ", "locations" : [ "Newark, NJ" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:04:05.575", "fingerprint" : "bc26f89c0d53ba260a3e63bc7ed96db9d75cc3b5bec8fbe9eb900ec4f3057956", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/carian/d82551b0-e649-4dae-99a6-c08ead27f3f1/application", "externalId" : "d82551b0-e649-4dae-99a6-c08ead27f3f1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Science, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Analytics", "Data Science", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data analytics solutions, Build and maintain data pipelines, Design and develop ML models, Create and manage BI dashboards, Perform statistical analysis, Collaborate with stakeholders, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Cloud data platforms; ML frameworks; BI platforms; Data modelling; Statistical methods", "domainList" : [ "cloud-data-platforms", "ml-frameworks", "bi-platforms", "data-modelling", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data platforms", "ML frameworks", "BI platforms", "Data modelling", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Data Analytics Process Lead Location: Newark, New Jersey Job Type: Full-time (Hybrid (3 days a week in office)) About Us CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated exclusively to the power sector. We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking an experienced Data Analytics Process Lead to support data analytics initiatives for a utility customer experience organization. This role will serve as the primary project manager and business liaison for analytics-related initiatives, working closely with program managers, IT, business stakeholders, and analytics resources. The ideal candidate has strong experience leading data-driven projects, gathering business requirements, supporting dashboard and reporting delivery, and translating business needs into practical analytics solutions. This is a senior, business-facing role requiring a strong mix of project management, process improvement, stakeholder communication, and technical analytics experience. The work may include Power BI dashboards, reporting solutions, data lake enhancements, executive reporting, business cases, and coordination across business and technical teams. Key Responsibilities - Serve as the project manager and primary point of contact for client’s data analytics initiatives. - Coordinate activities across program management, IT, analytics teams, business stakeholders, and external vendors. - Lead the planning, execution, monitoring, and delivery of analytics projects, including dashboards, reporting solutions, and data lake-related initiatives. - Develop and maintain project plans, roadmaps, status reports, risk assessments, and executive-level communications. - Facilitate stakeholder workshops and meetings to gather, document, and validate business requirements. - Translate business needs into functional specifications, user stories, data requirements, and analytics development priorities. - Partner with program managers, process leads, and business stakeholders to identify opportunities for data-driven process improvements and operational efficiencies. - Collaborate with IT, data engineering, and analytics teams to support Power BI dashboards, reporting solutions, data models, and data lake enhancements. - Ensure analytics solutions meet business objectives, usability expectations, and enterprise data governance standards. - Develop executive presentations, business cases, and communication materials that summarize project progress, findings, recommendations, business impacts, and analytics insights. - Build strong working relationships across business and technology organizations to support successful delivery. - Lead technical discussions, support analytics best practices, and provide oversight to analytics resources when needed. Qualifications - Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, Finance, or a related discipline. - 7+ years of relevant professional experience in project management, business analysis, process improvement, data analytics, reporting, or related fields. - 5+ years of experience in data analytics, business intelligence, data science, or a related field. - Experience managing cross-functional projects and coordinating work among business stakeholders, IT teams, analytics teams, and external vendors. - Strong experience gathering business requirements, facilitating workshops, documenting processes, and translating business needs into technical solutions. - Experience leading or providing technical oversight to analytics resources. - Experience developing or supporting SQL solutions, data models, and ETL/ELT processes within enterprise data environments. - Experience with Power BI dashboards and reports, or equivalent business intelligence and data visualization solutions. - Experience working with large datasets, relational databases, and enterprise reporting environments. - Familiarity with AWS cloud services supporting data integration, data lake, analytics, or reporting solutions. - Experience using Python for analytics, automation, statistical modeling, or AI/ML solution development. - Strong presentation, facilitation, written communication, and executive communication skills. - Strong analytical, problem-solving, organizational, and project management skills. - Ability to build collaborative relationships and influence stakeholders across multiple organizations. - Ability to manage multiple priorities and deliver results in a fast-paced environment. Preferred Experience - MBA or advanced degree in Business, Data Analytics, Information Systems, or a related field. - PMP certification or equivalent project management credential. - Experience serving as a Product Owner, Program Lead, Analytics Project Manager, Business Analyst, or Business Process Lead for enterprise analytics initiatives. - Experience supporting customer experience, energy efficiency, utility operations, or other process-focused organizations. - Familiarity with data governance, data quality, responsible AI practices, data warehousing, data lake architecture, and enterprise data management. - Experience developing business cases, investment justifications, executive reporting materials, and leadership presentations. - Understanding of Agile, Scrum, or other project delivery methodologies. - Experience coordinating consultants, contractors, analytics resources, or cross-functional project teams. Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Compensation The salary range for this role is $120,000 – $155,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, assignment requirements, schedule, and other factors permitted by law. In addition to base compensation, the role includes a comprehensive benefits package and a company 401(k) match.", "summaryDescription" : "Data Analytics Process Lead at CARIAN. Skills: Data Analytics, Data Science, Machine Learning, Business Intelligence. Develop and implement data analytics solutions. Build and maintain data pipelines", "createdAt" : "2026-06-14T19:22:29.006", "lastUpdated" : "2026-06-16T06:04:05.575", "ingestTimestamp" : "2026-06-14T19:22:29.006", "mongoId" : "6a2c772974d8ee00a093be51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills", "Data Analytics", "Data Science", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data platforms", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a308672f292fd229c080780", "title" : "HR and Recruiting Intern", "company" : "Eulerity", "industry" : "Technology", "salary" : { "min" : 15.0, "max" : 18.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T11:42:26.676", "fingerprint" : "c51ed6d937f98eaeafba113e700cab5eb82e3fc68d496ac619e80fcbae694f44", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/eulerity/jobs/4689273006", "externalId" : "4689273006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Talent sourcing", "Interview coordination", "Candidate experience", "Feedback collection", "Reporting" ], "hardSkillsList" : [ "Candidate tracking", "Feedback synthesis" ], "hardSkills" : [ { "name" : "Candidate tracking", "level" : "intermediate" }, { "name" : "Feedback synthesis", "level" : "intermediate" } ], "majorSkills" : "Recruiting, Talent acquisition, Interview logistics", "majorSkillsList" : [ "Recruiting", "Talent acquisition", "Interview logistics" ], "coreResponsibilities" : "Coordinate interview logistics, Manage candidate journey, Serve as point of contact, Gather structured feedback, Compile feedback summaries, Track candidate status, Flag delays, Surface gaps, Identify passive candidates, Engage passive candidates, Support active searches", "teamCollaboration" : "Hiring teams; Recruiting team; Hiring managers; Senior leaders", "domainKnowledge" : "AI-driven marketing automation; High-growth startup", "domainList" : [ "ai-driven-marketing-automation", "high-growth-startup" ], "domainSpecificKnowledge" : [ "AI-driven marketing automation", "High-growth startup" ], "toolProficiency" : [ "LinkedIn Recruiter" ], "communicationSkills" : "Clear writing; Professional speaking; Professional interaction", "documentationSkills" : "Feedback summaries", "continuousLearning" : "Direct mentorship", "qualificationsBasic" : "Highly organized, Communicator, Proactive by nature, Genuinely curious about talent, Commitment", "qualificationsPreferred" : "Experience with LinkedIn Recruiter, Experience with other sourcing tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Position Overview At Eulerity, we are building the future of AI-driven marketing automation — and behind every great hire is a great recruiting process. We are looking for a highly organized, people-oriented intern to join our team in our New York office and support the full recruiting lifecycle from the inside. This is not a passive, administrative internship. You will work directly under our Recruiter to keep our hiring engine running at full speed — coordinating interviews, tracking candidate progress, gathering and synthesizing interviewer feedback, and learning how to identify and source top talent. You will get an unfiltered look at how a high-growth startup builds its team, and you will be a meaningful part of making it happen. What You Will Do 1. Interview Coordination & Candidate Experience Own the Schedule: Coordinate interview logistics across multiple roles and hiring teams, ensuring candidates and interviewers are aligned, prepared, and on time. Manage the Candidate Journey: Serve as a point of contact for candidates throughout the process, ensuring every touchpoint is timely, professional, and reflects Eulerity's brand. 2. Feedback Collection & Reporting Close the Loop: Following each interview, gather structured feedback from interviewers and compile it into clear, organized summaries for the recruiting team. Keep the Pipeline Moving: Track candidate status across roles, flag delays, and surface any gaps in the feedback or decision-making process so nothing falls through the cracks. 3. Talent Sourcing (Learning Track) Learn to Hunt: Under direct guidance, you will learn how to use LinkedIn Recruiter and other sourcing tools to proactively identify and engage passive candidates. Build Your Instincts: Develop an eye for strong profiles across technical, sales, and business functions as you support active searches. Who You Are Highly Organized: You thrive when managing multiple moving pieces at once and take pride in keeping things airtight — no dropped balls, no missed follow-ups. A Strong Communicator: You write and speak clearly and professionally, and you are comfortable interacting with candidates, hiring managers, and senior leaders alike. Proactive by Nature: You do not wait to be told when something needs attention. You spot it, flag it, and handle it. Genuinely Curious About Talent: You are interested in understanding what makes someone a great hire — and excited to learn the craft of recruiting from the ground up. Commitment: You are ready to show up consistently, whether in-office or remote, and treat this role with the same seriousness as any full-time position. Why Eulerity? Real Recruiting Experience: You will be embedded in a live, fast-moving hiring operation — not simulating it in a classroom. Direct Mentorship: You will work side-by-side with our Recruiter and gain visibility into how leadership thinks about building teams at a high-growth AI startup. Immediate Impact: The candidates you help move through the process and the feedback you compile will directly shape who joins Eulerity. Logistics Summer 2026, with potential to extend based on performance. Hybrid out of our NYC office, 3 to 4 days per week in person. $15 to $18 per hour. Lunch credits and unlimited snacks when in-office. Direct mentorship from our recruiting team. ***************************************************************************** IMPORTANT \uD83D\uDED1 PLEASE FILL THIS FORM TO COMPLETE YOUR APPLICATION ******************************************************************************", "summaryDescription" : "HR and Recruiting Intern at Eulerity. Skills: Recruiting, Talent acquisition, Interview logistics. Coordinate interview logistics. Manage candidate journey", "postedDate" : "2026-06-16T01:21:50.503", "createdAt" : "2026-06-16T01:21:50.503", "lastUpdated" : "2026-06-16T11:42:26.676", "ingestTimestamp" : "2026-06-16T01:21:50.503", "mongoId" : "6a308672f292fd229c080780", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 37440, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Candidate tracking", "Feedback synthesis", "Recruiting", "Talent acquisition", "Interview logistics", "Talent sourcing", "Interview coordination", "Candidate experience", "Feedback collection", "Reporting", "AI-driven marketing automation", "High-growth startup", "LinkedIn Recruiter" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307ca5f292fd229c04a819", "title" : "Manufacturing Engineering Technician (Contract)", "company" : "Senior plc", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Manufacturing Engineering Technician in Burbank, United States, adjusted for industry and contract employment type." }, "location" : "Burbank, California, United States", "locations" : [ "Burbank", "California", "United States" ], "timestamp" : "2026-06-16T11:47:12.295", "fingerprint" : "38de7be3895a0290e0f48da014a67c883f347f4948e754b6ffe51ee72d8e64dc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SeniorPlc1/3743990013630966-manufacturing-engineering-technician-contract-", "externalId" : "3743990013630966", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Burbank", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1812089,-118.3072010" } ], "locationText" : "Burbank, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Perform technical administrative documentation, Support production floor rejection process, Input data, Keep digital records, Create Non-Conformance Material documentation, Document Visual Work Instructions, Document NCM procedures, Support and create in-process MRB actions, Create Heat Treat Schedules, Edit Heat Treat Schedules, Maintain Heat Treat Schedules, Update Laser Schedules, Track status changes, Provide Schedule support, Manage documentation for rejected parts, Review red tagged parts, Clarify data, Create NCM number, Move discrepant material, Update Work Orders, Document NCM process, Maintain training guidelines, Assist planners with INFOR updates, Follow Senior policies and procedures, Perform other duties as assigned", "domainKnowledge" : "Aerospace; Defense; Land vehicle; Power & energy; High-pressure ducting systems", "domainList" : [ "aerospace", "defense", "land-vehicle", "power-energy", "high-pressure-ducting-systems" ], "domainSpecificKnowledge" : [ "Aerospace", "Defense", "Land vehicle", "Power & energy", "High-pressure ducting systems" ], "toolProficiency" : [ "INFOR" ], "documentationSkills" : "Visual Work Instructions; NCM procedures", "specialRequirements" : "ITAR/EAR restricted access", "qualificationsBasic" : "High School Diploma or GED, 1 year related experience, Equivalent combination of education and experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who is Senior plc? Senior plc is an international, market-leading, engineering solutions provider with 19 operating businesses in 11 countries. Traded on the London Stock Exchange, Senior designs and manufactures high-technology components and systems for the worldwide aerospace, defense, land vehicle and power & energy markets. Senior Aerospace SSP, a division of Senior plc, is the world’s largest aerospace high-pressure ducting system supplier. Starting as ‘Stainless Steel Products’ in 1945, and acquired by Senior plc in 1995, we are vertically integrated with our own foundry, fabrication shop, and ISO-certified engineering lab, allowing us to design, manufacture, and qualify complex ducting systems for space launch, defense, and commercial aerospace applications worldwide. Why join SSP? Senior Aerospace SSP is the recognized global leader in high-pressure bleed air ducting systems. We provide \"total resource\" system solutions for complex ducting requirements, with our components found on most aircraft operating worldwide. We are committed to the highest standards of ethics, safety, quality, efficiency, and continuous improvement. At SSP, we believe in building strong relationships with our customers, suppliers, and most importantly, our employees. We foster a welcoming, respectful, and inclusive environment with ample opportunities for professional growth. Join us and find your future in a company that values innovation and integrity. Performs technical administrative documentation and manufacturing support of the production floor rejection process, inputting data, keeping digital records, creating Non-Conformance Material (NCM) documentation, documenting/creating Visual Work Instructions, documenting NCM procedures, and associated tasks as assigned. * Supporting and creating in-process MRB actions * Creating, editing and maintaining Laser Schedules and Heat Treat Schedules and Technique Sheets, including updating most current revisions and tracking status changes * Providing Schedule support to Laser and Heat Treat personnel * Managing documentation for rejected parts in IQM, review red tagged parts, clarifying data (dimensions, rejection, specification, etc), and creating NCM number * Move discrepant material from floor rejection area to MRB location after NCM creation * Updates Work Orders with rejection information and NCM number in INFOR * Create and document Visual Work Instructions for Manufacturing Engineer’s review * Document NCM process and maintain training guidelines/manual * Assist planners with INFOR work order updates. * Follow all Senior policies and procedures. * Other duties as assigned. ## Qualifications * High School Diploma or General Education Degree; or 1 year of related experience and/ or training; or equivalent combination of education and experience. * Self-starter that can work independently and manage time and priorities to support business and meet commitment dates. ## Additional Information Target Pay Rate = $23/hr Monday - Friday 1st Shift 7:00am - 4:30pm Trade Compliance Statement Access to our facilities is restricted under the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR) to U.S. Persons (U.S. Citizens, lawful permanent residents, U.S. Nationals, U.S. refugees, asylees, or temporary residents under amnesty provisions ), and to properly licensed foreign persons. Applicants receiving a conditional offer of employment will be required to provide information to determine whether they are subject to these regulations and, if so, to assess their country of chargeability for export control purposes. Additionally, potential employee names will be screened against the Consolidated Screening List (maintained by the United States government) to determine eligibility to receive controlled technical data. To ensure there is no unexpected delay to your start date with our Company and due to the potential need to obtain an export license, we would like to promptly assess whether such a license is needed to access our facility and/or systems. Such licenses can take several weeks/months to obtain from the U.S. Government. Our Trade Compliance department may reach out to you with a Licensing Assessment form, which we request you kindly complete and return as soon as possible. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. EOE M/F/D/V/VEVRAA Federal Contractor", "summaryDescription" : "Manufacturing Engineering Technician (Contract) at Senior plc. Perform technical administrative documentation. Support production floor rejection process", "postedDate" : "2026-06-15T21:13:36.000", "createdAt" : "2026-06-16T01:37:58.110", "lastUpdated" : "2026-06-16T11:47:12.295", "ingestTimestamp" : "2026-06-16T01:37:58.110", "mongoId" : "6a307ca5f292fd229c04a819", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Aerospace", "Defense", "Land vehicle", "Power & energy", "High-pressure ducting systems", "INFOR" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c3874d8ee00a09178dd", "title" : "Materials Process Technician", "company" : "Tempo", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Materials Process Technician in San Diego, United States, adjusted for the Climate Tech industry." }, "location" : "San Diego, California, United States", "locations" : [ "San Diego", "California", "United States" ], "timestamp" : "2026-06-16T02:42:08.218", "fingerprint" : "6234a2d7e639f925e47f94207e3a9d26c82ebb1eec3478eb0543f91f534f7cf3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://tempoenergy.com/careers/open-roles/?gh_jid=4232948009", "externalId" : "4232948009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "remoteFriendly" : false, "rawDescription" : "About Tempo Based in San Diego, California, Tempo develops thermochemical energy storage (TCES) systems designed for energy-intensive industries. The platform enables industrial operators to shift energy use over time by sourcing power when it is most cost-effective and enables the electrification of high-temperature industrial heat at a cost advantage to using fossil fuels. By storing electricity thermochemically, the system delivers a continuous stream of combustion-free, high-temperature air at up to 1,200° C. Tempo is backed by leading climate and energy investors, including Breakthrough Energy Ventures, Khosla Ventures, and Prelude Ventures. For more information, visit www.tempoenergy.com. Job Description Tempo is seeking a hands-on Materials Process Technician to support materials development, testing, and pilot-scale production for high-temperature energy storage systems. This role is suited for candidates with practical laboratory or manufacturing experience (e.g., pharma, ceramics, refractory, chemical processing, or similar industries) who can operate equipment, execute test plans, and support materials processing activities. This is a high-ownership, execution-focused role. Candidates must demonstrate hands-on capability through a practical skills assessment as part of the hiring process. Key Responsibilities Materials Processing heavier items handled with mechanical assistance or team lift Hand dexterity: Frequent use of hands for assembly, fabrication, instrumentation hookup, and operation of test and shop equipment Visual acuity: Ability to read engineering drawings, inspect hardware, and identify dimensional and surface quality features during fabrication and testing PPE compliance: Ability to wear and work effectively in required personal protective equipment, including safety glasses, heat-resistant gloves, safety shoes, and other appropriate gear in high-temperature lab and shop environments Safety acumen: Demonstrated understanding of lab and shop safety protocols, including hazard recognition and risk mitigation in environments involving high-temperature equipment, energized systems, and fabrication machinery Travel: Occasional travel (estimated <5%) for tool or material pickup Working at Tempo Tempo is a lean organization working on exciting challenges, and the people who thrive here share a few things in common beyond their technical skills. Clear, direct communication: You professionally say what you mean, lead with empathy, use tact, ask when you're unsure, and keep the people around you informed without being asked. At a company our size, communication gaps are expensive, and good communicators add to success and efficiency! Low-ego helpfulness: You're willing to jump in on work that isn't strictly yours, whether that's helping a teammate debug something, lending a hand in the shop, or flagging an issue you noticed outside your lane. No one here succeeds in a silo. Intellectual curiosity: You're genuinely interested in how things work, not just your piece of it, but the broader system. Tempo sits at the intersection of chemistry, mechanical engineering, power electronics, and software; the more you understand about the whole, the more valuable you become. Business awareness: You understand that your work exists in a business context. You think about cost, timeline, and tradeoffs—not just technical elegance—and you make decisions accordingly. Comfort with ambiguity: Processes here are still being built. You can make progress without a perfect playbook, and you know when to ask for direction versus when to use your judgment and move forward. Accountability: You own your outcomes, including the misses. When something goes sideways, the instinct here is to fix it and learn from it, not to explain why it wasn't your fault. This job description is intended to provide a general overview of the position and is not an exhaustive list of duties, responsibilities, or qualifications. Tempo reserves the right to modify, add, or remove responsibilities as business needs evolve. Employees may be asked to perform duties outside of those listed above from time to time. Tempo is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply. Tempo participates in E-Verify. Employment is contingent upon successful completion of a background check including employment and education check. California Privacy Notice (CCPA) - In connection with your application, Tempo collects personal information that you voluntarily provide, such as your name, contact information, employment history, and other information relevant to your candidacy. This information is collected and used solely for the purpose of evaluating your application and administering the hiring process. Tempo does not sell applicants' personal information. For more information about your rights under the California Consumer Privacy Act (CCPA), please contact HR. Tempo does not accept unsolicited resumes or candidate profiles from external recruiters, staffing agencies, or third-party search firms. Submission of unsolicited resumes by any external agency — whether to a Tempo employee, hiring manager, or any other representative — does not constitute or imply an agreement for placement fees, and Tempo will not be responsible for any fees related to unsolicited submissions under any circumstances. Any candidate submitted without a prior, fully executed, written fee agreement between the agency and Tempo's Human Resources department will be deemed the sole property of Tempo. Tempo reserves the right to pursue and hire such candidates without obligation to the submitting agency.", "summaryDescription" : "Materials Process Technician at Tempo", "postedDate" : "2026-06-14T18:33:41.132", "createdAt" : "2026-06-14T18:33:41.132", "lastUpdated" : "2026-06-16T02:42:08.218", "ingestTimestamp" : "2026-06-14T18:33:41.132", "mongoId" : "6a2c6c3874d8ee00a09178dd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a688574d8ee00a0634721", "title" : "Senior Engineer, Process Development, Wet, NTI", "company" : "One Thing", "industry" : "Semiconductor", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Engineer, Process Development, Wet, NTI in Singapore, adjusted for seniority and industry." }, "location" : "Fab 10N/X, Singapore", "locations" : [ "Fab 10N/X, Singapore" ], "timestamp" : "2026-06-13T02:33:24.237", "fingerprint" : "9d2885207daa655c31d81e68c4cd76b79bc607b629eeb432ba3b052d5e0b5362", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Senior-Engineer--Process-Development--Wet--NTI_JR103980", "externalId" : "JR103980", "industryFunction" : { }, "locationPoint" : "20.16542,-88.46398", "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Wet Etch, Process Development, NAND, Microelectronic Engineering, Chemistry, Chemical kinetics, Thermodynamics, Mass transport, Films, Interface engineering, SIMS, XPS, EDX, SEM/TEM, FTIR, Memory processing, Planar NAND, Vertical NAND, Data analysis, Design of Experiments, DoE", "professionalSkills" : [ "Process optimization", "Yield improvement", "Quality improvement", "Process margin improvement", "Technology choices", "Process requirements", "Fundamental research", "Hardware evaluations", "Novel applications", "Intellectual property generation", "Process margins", "Next node solutions", "Process simplification", "Manufacturability", "Best known methods", "Process monitoring", "Process control", "Technical projects", "Process improvements", "Procedure improvements", "Equipment improvements", "Complex projects", "Multi-disciplinary projects", "Quality meetings", "Process improvement meetings", "Yield improvement meetings", "Cost improvement meetings", "Productivity improvement meetings", "Technical issues", "Innovation projects", "Technical papers", "Supplier engagement", "Breakthrough solutions" ], "hardSkillsList" : [ "Chemistry", "Chemical kinetics", "Thermodynamics", "Mass transport", "Films engineering", "Interface engineering", "Wet etch processes", "Memory processing", "Data analysis", "Design of Experiments", "DoE" ], "hardSkills" : [ { "name" : "Chemistry", "level" : "intermediate" }, { "name" : "Chemical kinetics", "level" : "intermediate" }, { "name" : "Thermodynamics", "level" : "intermediate" }, { "name" : "Mass transport", "level" : "intermediate" }, { "name" : "Films engineering", "level" : "intermediate" }, { "name" : "Interface engineering", "level" : "intermediate" }, { "name" : "Wet etch processes", "level" : "intermediate" }, { "name" : "Memory processing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Design of Experiments", "level" : "intermediate" }, { "name" : "DoE", "level" : "intermediate" } ], "majorSkills" : "Process Development, Wet Etch, NAND, Semiconductor Industry", "majorSkillsList" : [ "Process Development", "Wet Etch", "NAND", "Semiconductor Industry" ], "coreResponsibilities" : "Develop and optimize unit processes, Meet yield and quality requirements, Quantify benefits of innovative solutions, Enable early experimentation and adoption, Prioritize technology issues, Integrate and troubleshoot processes, Drive yield and quality improvement, Participate on technology choices, Translate future technology needs, Perform fundamental research, Evaluate hardware, Test processes for novel applications, Generate intellectual property, Initiate and manage experiments, Widen process margins, Test manufacturability of solutions, Identify process simplification opportunities, Drive cross functional teams in implementation, Incorporate best known manufacturing methods, Design advanced process monitoring, Implement advanced process control, Serve as technical expert, Contribute to technical projects, Lead team or sites or suppliers, Lead complex projects, Lead multi-disciplinary projects, Provide advice and counsel to management, Lead innovation projects, Initiate innovation projects through patents, Engage with suppliers, Push for breakthrough solutions", "teamCollaboration" : "Cross-functional teams; Local and global partners; Boise TD Wet Etch peers; Cross functional teams; Quality focused meetings; Process improvement meetings; Yield improvement meetings; Cost improvement meetings; Productivity improvement meetings; Worldwide TD engagement", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Advanced NAND; Wet Etch; Memory processing; Planar NAND; Vertical NAND", "domainList" : [ "advanced-nand", "wet-etch", "memory-processing", "planar-nand", "vertical-nand" ], "domainSpecificKnowledge" : [ "Advanced NAND", "Wet Etch", "Memory processing", "Planar NAND", "Vertical NAND" ], "toolProficiency" : [ "Y3" ], "communicationSkills" : "Oral communication; Written communication; Convey message concisely; Effective communication; Local communications; Remote communications", "documentationSkills" : "Technical papers", "innovationCreativity" : "Innovation projects; Patents; Technical papers", "problemSolvingSkills" : "Troubleshoot processes; Process margin improvement; Yield improvement; Quality improvement", "specialRequirements" : "Working extended hours", "outcomesObjectives" : "Meet yield requirements; Meet quality requirements; Enable early experimentation; Enable adoption; Process margin improvement; Drive yield improvement; Drive quality improvement; Translate needs into requirements; Test manufacturability; Process simplification; Improve processes; Improve procedures; Improve equipment", "qualificationsBasic" : "Masters/PhD graduates in Chemistry, Materials Science or Chemical/Microelectronic Engineering, 2-3 years semiconductor industry experience, Deep understanding of chemistry, chemical kinetics, thermodynamics and mass transport, Basic understanding of films and interface engineering, Understanding of integration and structural impacts related to wet etch processes, Understanding of general process steps for memory processing, Working knowledge of data analysis systems, Working knowledge of Design of Experiments (DoE), Proven ability to collaborate with local and overseas teams, Excellent oral and written communication skills, Ability to be a self-motivated individual, Adaptable to working extended hours, Proven ability to work in a demanding & dynamic environment, Able to prioritize and manage multiple projects simultaneously, Strict adherence to Micron Intellectual Property protection policy", "qualificationsPreferred" : "2-3 years semiconductor industry experience preferable", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Responsibilities :** * Develop and optimize unit processes to meet the yield and quality requirements of advanced NAND part type * Quantify benefits of innovative process and/or equipment solutions to enable early experimentation and adoption for process margin improvement Prioritize within Singapore based manufacturing Wet Etch team on the key technology issues that need TD breakthroughs. * Integrate and troubleshoot processes as part of cross-functional teams driving yield and quality improvement Participate with Boise TD Wet Etch peers on technology choices for the upcoming nodes and able to translate future technology device needs into clear process requirements * Process development will include performing fundamental research, hardware evaluations, as well as testing processes for novel applications and generating intellectual property relevant to Micron. * Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions * Identify process simplification opportunities and drive cross functional teams in implementation Incorporate best known manufacturing methods into early development phase of upcoming nodes. * Design and implement advanced process monitoring and control methodologies. * Serve as a technical expert within Micron contributing to technical projects for improvements to processes, procedures and equipment. * Lead team or sites or suppliers on complex, multi-disciplinary projects in quality focused meetings, process and yield improvement meetings, cost and productivity improvement meetings * Provide advice and counsel to management on significant technical issues. Leads and initiate innovation projects through patents/technical papers. * This position requires communication and collaboration with partners both locally and globally. * Strict adherence to Micron Intellectual Property protection policy is a must. * Be part of the continuous worldwide TD engagement with suppliers pushing for breakthrough solutions. **Requirements :** * Masters/PhD graduates in Chemistry, Materials Science or Chemical/Microelectronic Engineering are welcome to apply. * 2-3 years of semiconductor industry experience is preferable * A deep understanding of chemistry, chemical kinetics, thermodynamics and mass transport * Basic understanding of films and interface engineering and analysis techniques thereof – SIMS, XPS, EDX, SEM/TEM, FTIR. * Understanding of various integration and structural impacts and constraints related to wet etch processes. * An understanding of the general process steps and process flow for memory processing, planar and vertical NAND memory in particular. * Working knowledge of data analysis systems e.g.: Y3 to facilitate analysis of experimental data * Working knowledge of Design of Experiments (DoE) Proven ability to collaborate with local and overseas teams on projects * Excellent oral and written communication skills with ability to convey the message in concise and effective manner both in local as well as remote communications. * Ability to be a self-motivated individual and be adaptable to Micron’s changing needs in terms of working extended hours, if required Proven ability to work in a demanding & dynamic environment and able to prioritize and manage multiple projects simultaneously **Working location:** * 1, North Coast Drive, Singapore 757432 **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Senior Engineer, Process Development, Wet, NTI at One Thing. Skills: Process Development, Wet Etch, NAND, Semiconductor Industry. Develop and optimize unit processes. Meet yield and quality requirements", "postedDate" : "2026-06-11T16:25:10.122", "createdAt" : "2026-06-11T16:25:09.611", "lastUpdated" : "2026-06-13T02:33:24.237", "ingestTimestamp" : "2026-06-11T16:25:09.611", "mongoId" : "6a2a688574d8ee00a0634721", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Senior-Engineer--Process-Development--Wet--NTI_JR103980", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Chemistry", "Chemical kinetics", "Thermodynamics", "Mass transport", "Films engineering", "Interface engineering", "Wet etch processes", "Memory processing", "Data analysis", "Design of Experiments", "DoE", "Process Development", "Wet Etch", "NAND", "Semiconductor Industry", "Process optimization", "Yield improvement", "Quality improvement", "Process margin improvement", "Technology choices", "Process requirements", "Fundamental research", "Hardware evaluations", "Novel applications", "Intellectual property generation", "Process margins", "Next node solutions", "Process simplification", "Manufacturability", "Best known methods", "Process monitoring", "Process control", "Technical projects", "Process improvements", "Procedure improvements", "Equipment improvements", "Complex projects", "Multi-disciplinary projects", "Quality meetings", "Process improvement meetings", "Yield improvement meetings", "Cost improvement meetings", "Productivity improvement meetings", "Technical issues", "Innovation projects", "Technical papers", "Supplier engagement", "Breakthrough solutions", "Manage multiple projects", "Advanced NAND", "Planar NAND", "Vertical NAND", "Y3" ], "skillCount" : 53, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Semiconductor" }, { "id" : "6a30518cf292fd229cf0208d", "title" : "Manufacturing Technician - 2nd Shift", "company" : "US Conec, Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 54000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Manufacturing Technician in Fort Worth, United States, adjusted for industry and company size." }, "location" : "Fort Worth, Texas, United States", "locations" : [ "Fort Worth", "Texas", "United States" ], "timestamp" : "2026-06-16T06:29:41.011", "fingerprint" : "c5c369300969cd4fa911b6e627de1016cceeb206ff0ecf17722ea71c2bb39bbf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/usconec/jobs/4018604009", "externalId" : "4018604009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Worth", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7531770,-97.3327459" } ], "locationText" : "Fort Worth, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "hardSkillsList" : [ "Blueprint reading", "Basic math" ], "hardSkills" : [ { "name" : "Blueprint reading", "level" : "intermediate" }, { "name" : "Basic math", "level" : "intermediate" } ], "majorSkills" : "Manufacturing processes, Quality control", "majorSkillsList" : [ "Manufacturing processes", "Quality control" ], "coreResponsibilities" : "Operate manufacturing equipment, Perform quality checks, Maintain a clean work area, Follow safety procedures, Assist with machine setup, Read and interpret blueprints, Use precision measuring tools", "teamCollaboration" : "Work with supervisors", "domainKnowledge" : "Manufacturing operations", "domainList" : [ "manufacturing-operations" ], "domainSpecificKnowledge" : [ "Manufacturing operations" ], "toolProficiency" : [ "Calipers", "Micrometers" ], "problemSolvingSkills" : "Troubleshooting equipment issues", "specialRequirements" : "Ability to lift 50 lbs, Work 2nd shift", "qualificationsBasic" : "High School diploma or GED, 2+ years manufacturing experience, Ability to read and interpret blueprints, Basic math skills, Ability to lift 50 lbs", "qualificationsPreferred" : "Experience with CNC machines, Basic computer skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "US Conec, Ltd. Engineering Innovation. Precision Plastics. Powering AI. US Conec, Ltd. is a trusted, global company that prides itself on engineering excellence—creating innovative connectivity solutions that support today’s most important technologies. We foster a friendly, inclusive culture that values teamwork, creativity, and mutual respect. At US Conec, you’ll find real opportunities to grow and make a meaningful impact in a company that genuinely cares about its people and its customers. With competitive compensation, excellent benefits, and a supportive environment, this is a place where you can build your future—whether your interests lie in manufacturing, engineering, operations, or beyond. Manufacturing Technician - 2nd Shift (2:00pm – 10:00pm) Overview US Conec is seeking a hands-on Manufacturing Technician to join our 2nd shift Operations team. In this role, you’ll maintain, support, and optimize the equipment that powers our daily manufacturing processes. You’ll collaborate with engineers and cross-functional teams to ensure equipment reliability, streamline workflows, and contribute to continuous improvement across the floor. If you’re mechanically inclined, detail-oriented, and thrive in a fast-paced environment, we’d love to meet you. Responsibilities Maintain and troubleshoot equipment including arbor presses, servo presses, airlines, adapter test machines, hot stamp machines, pin clamp scanners, and other tools Inspect, clean, and repair equipment to minimize downtime and disruptions Organize and catalog equipment inventory to ensure accessibility and proper maintenance Support serialization and tracking of tools to streamline operations Operate and maintain 3D printers for rapid prototyping and manufacturing needs Collaborate with manufacturing and project engineers to assist with daily tasks and small projects Assist the Quality department in fixture creation to improve product consistency Maintain accurate documentation related to equipment maintenance and process improvements Uphold safety protocols and ensure compliance with company and industry standards Must Haves High school diploma or GED Experience as an Engineering Technician or similar role focused on equipment maintenance Hands-on experience with troubleshooting and maintaining manufacturing equipment Familiarity with 3D printing technology and processes Strong mechanical aptitude and problem-solving skills Excellent organizational skills and attention to detail Effective communication skills for cross-functional collaboration Adaptability in a dynamic, fast-paced environment Commitment to accurate documentation and safety compliance What We Offer Competitive compensation with shift-based incentives Comprehensive health, dental, and vision insurance plans Paid time off and holidays to support work-life balance 401(k) retirement savings plan with employer match A collaborative, innovation-driven culture Opportunities for professional development and cross-training Inclusive workplace with reasonable accommodations for qualified individuals US Conec will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Join US Conec today and be part of a team that values each other, promotes innovation and growth, and strives to exceed customer expectations in everything we do. US Conec is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, protected veteran status, or any other legally protected characteristics", "summaryDescription" : "Manufacturing Technician - 2nd Shift at US Conec, Ltd.. Skills: Manufacturing processes, Quality control. Operate manufacturing equipment. Perform quality checks", "postedDate" : "2026-06-15T23:18:19.952", "createdAt" : "2026-06-15T23:18:19.952", "lastUpdated" : "2026-06-16T06:29:41.011", "ingestTimestamp" : "2026-06-15T23:18:19.952", "mongoId" : "6a30518cf292fd229cf0208d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Blueprint reading", "Basic math", "Manufacturing processes", "Quality control", "Manufacturing operations", "Calipers", "Micrometers" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca05374d8ee00a09a1e42", "title" : "(Intern) Data Automation", "company" : "Tacto", "industry" : "Student & Graduate Internships", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for entry-level internships in the technology industry in Munich, Germany, adjusted for the specific company and role." }, "location" : "Munich", "locations" : [ "Munich" ], "timestamp" : "2026-06-16T04:40:04.611", "fingerprint" : "64559baef808cc83d63382ba91da69780cb305adfbce6dc5e9498750581c86f2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tacto/6b175aec-f934-4e19-9c0a-3bbc6c3b4825/application", "externalId" : "6b175aec-f934-4e19-9c0a-3bbc6c3b4825", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Germany", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "rawDescription" : "YOUR IMPACT As part of Solution Engineering at Tacto, you'll bridge our powerful platform with measurable customer value through data expertise. Working directly with customers and leads, you'll understand their unique supply chain challenges and implement tailored technical solutions. By integrating customer procurement data and configuring the platform to match their processes, you'll drive adoption and showcase immediate ROI (even during the deal building process). This technical role combines data engineering with customer interaction – you'll not only build robust data pipelines but also guide customers through implementation, helping transform our technology into business impact for Europe's industrial backbone. Your work will directly influence deal conversions, customer value, product evolution, and our company's growth trajectory. YOUR TASKS (TRACK SPECIFIC) Solution Engineering Track - Data Integration & Pipeline Development: Design and implement stable, scalable pipelines that transform customer procurement data into actionable insights within Tacto's platform. - Technical Onboarding Leadership: Drive the technical implementation process from kickoff to completion, working with customer IT teams to ensure smooth integration and rapid time-to-value. - Solution Configuration: Customize the Tacto platform to match each customer's unique requirements, applying best practices in procurement and supplier management. - Continuous Improvement: Develop reusable components and standardized approaches that increase onboarding efficiency while maintaining quality and customer satisfaction. Value Engineering Track - Value Case Development & Quantification: Analyze customer ERP and procurement data to identify and quantify concrete savings and risk-reduction potential for our leads during deal building. . - Value Storytelling & Stakeholder Presentation: Translate findings into compelling negotiation dossiers, savings cases and presentations that make Tacto's ROI tangible for procurement and executive stakeholders – and support Sales in turning value into deal momentum. - Vibe Code @TactoContinuous Improvement: Develop reusable analytical frameworks and AI-native workflows that scale Proof of ValuePoV delivery and extend our demo app with compelling new value cases in alignment with our product team. General (both tracks) - Cross-Functional Collaboration: Work closely with Customer Success, Product, and Engineering to deliver integrated solutions and feed customer insights back into our product roadmap. - Become AI Native: Proactively identify opportunities to leverage AI to accelerate your work, experiment with new approaches, and share successful workflows – contributing to Tacto's culture of high-velocity execution and innovation. YOUR PROFILE Now you may wonder what experiences and skills you need for this role. We believe that problem-solving, creativity, and drive are more important than tools that can be picked up. However, the following references will give a guideline of what experiences we think might be helpful.link - You have strong business acumen - You enjoy getting to know customers and / or leads, understanding their needs and achieving results together with an interdisciplinary team - You have experience in programming with SQL - You are familiar with importing, cleansing, validating, transforming and exploring data - You have worked with BI tools such as PowerBI or Tableau - You have strong communication skills in both German and English OUR BACKGROUND Tacto is building the intelligence layer that connects AI to the physical world of manufacturing, starting with procurement. AI is transforming every industry, but it stops at the factory gate. The knowledge that holds manufacturing together - part costs, suppliers, materials - is scattered across systems and people. Over 50% of a product's cost originates from suppliers, making procurement the single largest cost lever in manufacturing and the missing connection between the digital and the physical world. Yet it still runs on Excel and legacy systems. We're changing that with our Procurement Intelligence Platform, trusted by hundreds of companies running billions of Euros of material. Based in Munich, we are 100+ passionate builders who are in-office, with high expectations, fast growth, and a lot of fun. We are supported by >€50m from Sequoia, Index, and Europe's leading tech entrepreneurs and industry veterans. WHY IT MATTERS Manufacturing forms Europe's economic backbone, driving a fourth of Europe's GDP and providing over 30% of jobs. These hidden champions and global market leaders manufacture the physical world around us, from the machines that build our cities to the medical devices that save lives. But the world is changing. The US dominates the digital world of bits. China is scaling the world of atoms, manufacturing at unprecedented speed and scale. Geopolitics are more uncertain than ever. Europe's strength lies in its deep industrial knowledge through generations of engineering. Manufacturing worldwide runs on European machines and software. But that heritage is only an advantage if we leverage it in the age of AI. Tacto builds the AI that connects Atoms and Bits, empowering our Industrial Base to Stay Stronger and building a lighthouse for European tech. WHAT WE OFFER The people at Tacto are passionate about building the organization, growing themselves, and our product while having fun and being real. We have high expectations, great talent density, and a culture where your ambition, performance, and agency are what count - not where you come from or how big your ego is. You'll grow at the forefront of AI, have real ownership and impact, and be surrounded by the best people in their field who challenge you and make you better every day. That is demanding and rewarding, but that's where we thrive. Besides that you have: - Money: Competitive salary & equity in the company with real upside, so you are invested in our success - Workplace: A vibrant in-office culture (> 4 days/week) in a beautiful office in central Munich - Development: A development budget and regular exposure to exceptional people, e.g., Lunch & Learns, peer mentoring, external speakers - Freetime: 26 + 4 vacation days per year (4 fixed “company rest days”) as well as regular off-sites and team events - Health: Wellpass membership, of course, a fruit basket (!), and access to Jobrad, for your health - Family & Social Security: Voluntary pension contribution, voluntary KITA subsidy for your children Tacto is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability, or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.", "summaryDescription" : "(Intern) Data Automation at Tacto", "createdAt" : "2026-06-14T20:12:22.841", "lastUpdated" : "2026-06-16T04:40:04.611", "ingestTimestamp" : "2026-06-14T20:12:22.841", "mongoId" : "6a2ca05374d8ee00a09a1e42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a688574d8ee00a0634720", "title" : "Senior Engineer, Process Development, Wet, NTI", "company" : "One Thing", "industry" : "Semiconductor", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Engineer, Process Development, Wet, NTI in Singapore, adjusted for seniority and industry." }, "location" : "Fab 10N/X, Singapore", "locations" : [ "Fab 10N/X, Singapore" ], "timestamp" : "2026-06-13T02:58:26.495", "fingerprint" : "db60aac3df88dacce1e2cb3471698ce0ff7f19c0fb31adf9327ed1a40f1c99d8", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Senior-Engineer--Process-Development--Wet--NTI_JR103979", "externalId" : "JR103979", "industryFunction" : { }, "locationPoint" : "20.16542,-88.46398", "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Chemistry, Chemical kinetics, Thermodynamics, Mass transport, Films engineering, Interface engineering, Wet etch processes, Memory processing, NAND memory", "professionalSkills" : [ "Process development", "Process optimization", "Yield improvement", "Quality improvement", "Process margin improvement", "Technology choices", "Process requirements", "Fundamental research", "Hardware evaluations", "Novel applications", "Intellectual property generation", "Process simplification", "Cross functional teams", "Manufacturing methods", "Process monitoring", "Process control", "Technical projects", "Process improvements", "Procedure improvements", "Equipment improvements", "Complex projects", "Multi-disciplinary projects", "Quality meetings", "Process meetings", "Yield meetings", "Cost improvement", "Productivity improvement", "Technical issues", "Innovation projects", "Technical papers", "Supplier engagement", "Breakthrough solutions" ], "hardSkillsList" : [ "SIMS", "XPS", "EDX", "SEM/TEM", "FTIR", "Data analysis", "Design of Experiments" ], "hardSkills" : [ { "name" : "SIMS", "level" : "intermediate" }, { "name" : "XPS", "level" : "intermediate" }, { "name" : "EDX", "level" : "intermediate" }, { "name" : "SEM/TEM", "level" : "intermediate" }, { "name" : "FTIR", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Design of Experiments", "level" : "intermediate" } ], "majorSkills" : "Process development, Wet etch, NAND technology", "majorSkillsList" : [ "Process development", "Wet etch", "NAND technology" ], "coreResponsibilities" : "Develop and optimize unit processes, Meet yield and quality requirements, Quantify benefits of innovative solutions, Enable early experimentation and adoption, Prioritize technology issues, Integrate and troubleshoot processes, Drive yield and quality improvement, Participate on technology choices, Translate future technology needs, Perform fundamental research, Evaluate hardware, Test processes for novel applications, Generate intellectual property, Initiate and manage experiments, Widen process margins, Test manufacturability, Identify process simplification opportunities, Drive cross functional teams in implementation, Incorporate best known manufacturing methods, Design and implement advanced process monitoring, Implement advanced process control methodologies, Serve as technical expert, Contribute to technical projects, Lead team or sites or suppliers, Manage complex projects, Manage multi-disciplinary projects, Provide advice and counsel to management, Lead innovation projects, Initiate innovation projects through patents, Initiate innovation projects through technical papers, Communicate and collaborate with partners, Adhere to Intellectual Property protection policy, Engage with suppliers, Push for breakthrough solutions", "teamCollaboration" : "Cross-functional teams; Local and global partners; Boise TD Wet Etch peers; Worldwide TD engagement", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Semiconductor industry; Wet Etch; NAND part type; Memory processing; Planar NAND memory; Vertical NAND memory; Next node solutions; Micron Intellectual Property", "domainList" : [ "semiconductor-industry", "wet-etch", "nand-part-type", "memory-processing", "planar-nand-memory", "vertical-nand-memory", "next-node-solutions", "micron-intellectual-property" ], "domainSpecificKnowledge" : [ "Semiconductor industry", "Wet Etch", "NAND part type", "Memory processing", "Planar NAND memory", "Vertical NAND memory", "Next node solutions", "Micron Intellectual Property" ], "toolProficiency" : [ "Y3" ], "communicationSkills" : "Oral communication; Written communication; Convey message concisely; Effective communication", "documentationSkills" : "Technical papers", "innovationCreativity" : "Innovation projects; Patents; Technical papers", "problemSolvingSkills" : "Troubleshoot processes; Yield improvement; Quality improvement; Process margin improvement", "specialRequirements" : "Working extended hours if required", "outcomesObjectives" : "Meet yield requirements; Meet quality requirements; Enable early experimentation; Enable adoption; Process margin improvement; Drive yield improvement; Drive quality improvement; Widen process margins; Test manufacturability; Process simplification", "qualificationsBasic" : "Masters/PhD graduates in Chemistry, Materials Science or Chemical/Microelectronic Engineering, 2-3 years semiconductor industry experience, Deep understanding of chemistry, chemical kinetics, thermodynamics and mass transport, Understanding of films and interface engineering, Understanding of integration and structural impacts related to wet etch processes, Understanding of general process steps for memory processing, Working knowledge of data analysis systems, Working knowledge of Design of Experiments (DoE), Proven ability to collaborate with local and overseas teams, Excellent oral and written communication skills, Ability to be a self-motivated individual, Able to prioritize and manage multiple projects simultaneously", "qualificationsPreferred" : "2-3 years semiconductor industry experience preferable", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Responsibilities :** * Develop and optimize unit processes to meet the yield and quality requirements of advanced NAND part type * Quantify benefits of innovative process and/or equipment solutions to enable early experimentation and adoption for process margin improvement Prioritize within Singapore based manufacturing Wet Etch team on the key technology issues that need TD breakthroughs. * Integrate and troubleshoot processes as part of cross-functional teams driving yield and quality improvement Participate with Boise TD Wet Etch peers on technology choices for the upcoming nodes and able to translate future technology device needs into clear process requirements * Process development will include performing fundamental research, hardware evaluations, as well as testing processes for novel applications and generating intellectual property relevant to Micron. * Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions * Identify process simplification opportunities and drive cross functional teams in implementation Incorporate best known manufacturing methods into early development phase of upcoming nodes. * Design and implement advanced process monitoring and control methodologies. * Serve as a technical expert within Micron contributing to technical projects for improvements to processes, procedures and equipment. * Lead team or sites or suppliers on complex, multi-disciplinary projects in quality focused meetings, process and yield improvement meetings, cost and productivity improvement meetings * Provide advice and counsel to management on significant technical issues. Leads and initiate innovation projects through patents/technical papers. * This position requires communication and collaboration with partners both locally and globally. * Strict adherence to Micron Intellectual Property protection policy is a must. * Be part of the continuous worldwide TD engagement with suppliers pushing for breakthrough solutions. **Requirements :** * Masters/PhD graduates in Chemistry, Materials Science or Chemical/Microelectronic Engineering are welcome to apply. * 2-3 years of semiconductor industry experience is preferable * A deep understanding of chemistry, chemical kinetics, thermodynamics and mass transport * An understanding of films and interface engineering and analysis techniques thereof – SIMS, XPS, EDX, SEM/TEM, FTIR. * Understanding of various integration and structural impacts and constraints related to wet etch processes. * An understanding of the general process steps and process flow for memory processing, planar and vertical NAND memory in particular. * Working knowledge of data analysis systems e.g.: Y3 to facilitate analysis of experimental data * Working knowledge of Design of Experiments (DoE) Proven ability to collaborate with local and overseas teams on projects * Excellent oral and written communication skills with ability to convey the message in concise and effective manner both in local as well as remote communications. * Ability to be a self-motivated individual and be adaptable to Micron’s changing needs in terms of working extended hours, if required Proven ability to work in a demanding & dynamic environment and able to prioritize and manage multiple projects simultaneously **Working location:** * 1, North Coast Drive, Singapore 757432 **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Senior Engineer, Process Development, Wet, NTI at One Thing. Skills: Process development, Wet etch, NAND technology. Develop and optimize unit processes. 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Semiconductor manufacturing", "domainList" : [ "die-attach-process", "semiconductor-manufacturing" ], "domainSpecificKnowledge" : [ "Die Attach process", "Semiconductor manufacturing" ], "documentationSkills" : "Data analysis report", "continuousLearning" : "Gain understanding of Die Attach process; Perform data analysis and visualization; Apply statistical methods and/or machine learning techniques; Develop dashboards or tools", "innovationCreativity" : "Prototype model for anomaly detection; Prototype model for trend analysis", "problemSolvingSkills" : "Problem-solving skills; Data-driven decision-making", "outcomesObjectives" : "Improved process visibility; Improved process understanding; Identification of yield improvement opportunities; Identification of efficiency improvement opportunities; Enhanced use of data analytics; Enhanced use of data in manufacturing decision-making", "qualificationsBasic" : "Basic engineering knowledge, Analytical and problem-solving skills, Familiarity with data tools, Interest in data analytics, automation, or AI", "qualificationsPreferred" : "NITEC/Diploma in Engineering, Diploma in Data Science, Diploma in Computer Engineering", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. ## **Project Title:** Data-Driven Optimization of Die Attach Manufacturing Performance ## **Project Description:** This project focuses on improving the understanding and performance of the Die Attach process within semiconductor manufacturing. The intern will analyze process and equipment data to identify trends, variability drivers, and opportunities for optimization. The project will explore the application of data analytics and AI techniques to enhance process visibility, detect anomalies, and support data-driven decision-making in a high-volume manufacturing environment. ## **Objective of the Project:** * Identify key factors influencing Die Attach process performance (e.g., yield, cycle time) * Develop insights into process trends and variability * Apply analytics or AI techniques to detect anomalies or optimization opportunities * Propose improvement recommendations based on data analysis ## **Project Scope / Learning Opportunities:** * Gain understanding of Die Attach process and semiconductor manufacturing flow * Perform data analysis and visualization on manufacturing datasets * Apply statistical methods and/or machine learning techniques * Develop dashboards or tools to monitor key process indicators * Collaborate with engineering teams to interpret findings ## **Deliverables:** * Data analysis report on process performance trends * Visualization dashboard for selected KPIs * Prototype model for anomaly detection or trend analysis (if applicable) * Final presentation with recommendations and potential impact ## **Impact of Project:** * Improved process visibility and understanding * Identification of opportunities for yield and efficiency improvement * Enhanced use of data analytics in manufacturing decision-making ## **Skillsets Required:** * Basic engineering knowledge * Analytical and problem-solving skills * Familiarity with data tools (e.g., Excel, Python, or equivalent) * Interest in data analytics, automation, or AI ## **Course of Interest:** Minimum a NITEC/DIploma in Engineering (Electrical, Mechanical, Manufacturing, Industrial, Mechatronics), Data Science or Computer Engineering ## **Duration:** Minimum 4 months **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Intern - Manufacturing Technician at Micron. Skills: Data Analytics, AI Techniques, Manufacturing Performance. Analyze process and equipment data. Identify trends and variability drivers", "postedDate" : "2026-06-10T14:56:01.181", "createdAt" : "2026-06-11T14:56:01.082", "lastUpdated" : "2026-06-12T17:43:11.332", "ingestTimestamp" : "2026-06-11T14:56:01.082", "mongoId" : "6a2a688674d8ee00a06347d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/MSB-Singapore/Intern---Manufacturing-Technician_JR101505", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Anomaly detection", "Trend analysis", "Data Analytics", "AI Techniques", "Manufacturing Performance", "Process optimization", "Data analysis", "Statistical methods", "Machine learning", "Die Attach process", "Semiconductor manufacturing" ], "skillCount" : 12, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a2cc1eb74d8ee00a0a04f5b", "title" : "Data Science Intern", "company" : "Sailpeak", "industry" : "Internal", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for Data Science Intern roles in Brussels, Belgium, adjusted for entry-level seniority and the consulting industry." }, "location" : "Brussels", "locations" : [ "Brussels" ], "timestamp" : "2026-06-15T14:12:48.603", "fingerprint" : "fbe71606553f7669d418889ac266091fe6dbd626c832e99ace8675164459acc1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sailpeak/a34f75ff-204b-4927-bd99-7b1bb444f481/application", "externalId" : "a34f75ff-204b-4927-bd99-7b1bb444f481", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brussels", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.8467372,4.3524930" } ], "locationText" : "Brussels, Belgium", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, Pandas, NumPy, AI, Machine Learning, Generative AI", "professionalSkills" : [ "Problem-solving", "Analytical skills" ], "hardSkillsList" : [ "Data analysis", "AI workflows", "Automation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Analytics", "majorSkillsList" : [ "Data Science", "AI", "Analytics" ], "coreResponsibilities" : "Contribute to AI projects, Support client projects, Research AI tools, Benchmark AI technologies, Design AI workflows, Build AI automations, Analyze datasets, Extract insights, Develop prototypes, Develop dashboards, Develop proof-of-concepts, Integrate Generative AI, Identify AI use cases, Document findings, Document methodologies, Document recommendations, Participate in brainstorming", "teamCollaboration" : "Collaborate with teams; Collaborate with consultants", "domainKnowledge" : "Digital transformation; Banking; Insurance", "domainList" : [ "digital-transformation", "banking", "insurance" ], "domainSpecificKnowledge" : [ "Digital transformation", "Banking", "Insurance" ], "documentationSkills" : "Document findings; Document methodologies; Document recommendations", "innovationCreativity" : "Innovation; AI adoption; Emerging technologies", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "0-2 years experience, Bachelor's or Master's degree, Basic Python knowledge, Familiarity with AI concepts", "qualificationsPreferred" : "French or Dutch fluency a plus, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Sailpeak At Sailpeak, we are a Brussels-based consulting firm specializing in guiding Banking & Insurance firms through the complexities of digital transformation. With expertise in Business Strategy, Data & AI, and Digital Transformation, Sailpeak helps clients navigate the ever-evolving landscape and reach new heights of success. \uD83E\uDD16 About the Role We are looking for a Data Science Intern with 0–2 years of experience who is excited about AI, data, automation, and innovation. This is not a “theoretical only” internship. You’ll work on real internal AI projects, support consultants on client initiatives, contribute to AI benchmarks and workflows, and help shape how Sailpeak leverages AI internally. You will work part-time (2.5 days/week) in a fast-growing and entrepreneurial environment where ownership, curiosity, and initiative are highly valued. If you enjoy dynamic environments where no two weeks look the same, you’ll fit right in. \uD83D\uDCCA You will: - Contribute to internal AI and Data Science projects such as the Sailpeak AI Barometer. - Support consultants on data and AI-related client projects. - Research and benchmark AI tools, technologies, and market trends. - Help design and build AI workflows, automations, and internal productivity solutions. - Analyze datasets and extract actionable insights. - Assist in developing prototypes, dashboards, and proof-of-concepts. - Explore opportunities to integrate Generative AI into internal and client-facing processes. - Collaborate with different teams to identify AI use cases and improvement opportunities. - Document findings, methodologies, and recommendations clearly. - Participate in brainstorming sessions around innovation, AI adoption, and digital transformation. \uD83D\uDCCA You bring to the table: - 0–2 years of experience or internships in Data Science, AI, Analytics, Computer Science, Engineering, or related fields. - A Bachelor’s or Master’s degree (ongoing or completed) in Data Science, Computer Science, Engineering, Mathematics, AI, or a related field. - Basic knowledge of Python and data analysis libraries (Pandas, NumPy, etc.). - Familiarity with AI concepts, machine learning, or Generative AI tools. - Interest in AI workflows, automation tools, and emerging technologies. - Strong analytical and problem-solving skills. - A proactive personality with curiosity and ownership. - Someone who enjoys learning quickly and experimenting with new ideas. - Ability to work independently while collaborating closely with a team. \uD83D\uDDE3️ Language Skills: - Fluency in English. - French or Dutch is a plus. \uD83E\uDD39 Other Skills: - Comfortable working in a fast-paced and evolving environment. - Strong communication and collaboration skills. - Attention to detail and structured thinking. - Passion for AI, innovation, and continuous improvement. - Interest in consulting, digital transformation, and emerging technologies. \uD83C\uDF81 What’s in it for you - Internship compensation aligned with market standards. - Hands-on experience in a fast-growing consulting and AI-driven environment. - Ownership and autonomy from day one. - Exposure to AI strategy, data science, innovation, automation, and digital transformation projects. - Mentorship from experienced consultants and leadership with backgrounds from companies like Google, PayPal, Semetis, and Sia Partners. - A vibrant office culture in Brussels with regular events, knowledge-sharing sessions, and team activities. \uD83E\uDDD1‍\uD83D\uDD2C The Process Step 1: 30-minute introductory call with our Talent team to discuss your background, motivation, and expectations. Step 2: Practical discussion around AI, problem-solving, and data-related use cases. Step 3: Final conversation with one of the founders or team leads. The Offer. Are you ready to kick-start your career in Data Science and AI while contributing to innovative projects in a fast-growing consulting company? Join Sailpeak and grow with us!", "summaryDescription" : "Data Science Intern at Sailpeak. Skills: Data Science, AI, Analytics. Contribute to AI projects. Support client projects", "createdAt" : "2026-06-14T09:20:01.540", "lastUpdated" : "2026-06-15T14:12:48.603", "ingestTimestamp" : "2026-06-14T09:20:01.540", "mongoId" : "6a2cc1eb74d8ee00a0a04f5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "AI workflows", "Automation", "Data Science", "AI", "Analytics", "Problem-solving", "Analytical skills", "Digital transformation", "Banking", "Insurance" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f8bf292fd229cf7de69", "title" : "Renewables Data Researcher Intern", "company" : "Unison", "industry" : "Europe", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Milan, Italy, adjusted for the climate tech industry." }, "location" : "Milan", "locations" : [ "Milan" ], "timestamp" : "2026-06-16T11:05:09.037", "fingerprint" : "6b5b202ac7f746fd75f9b07b53db2000dfef5368b54d13c65d6b73ac4d335688", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/unisoninfra/3f44c0b4-a7f9-4002-b49d-f3844f51dd23/apply", "externalId" : "3f44c0b4-a7f9-4002-b49d-f3844f51dd23", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milan", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" } ], "locationText" : "Milan, Italy", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Data quality management", "Data management" ], "hardSkillsList" : [ "Data entry" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" } ], "majorSkills" : "Renewable energy, Data acquisition, Data validation", "majorSkillsList" : [ "Renewable energy", "Data acquisition", "Data validation" ], "coreResponsibilities" : "Enter data, Manage data quality, Research renewable energy information, Validate renewable energy information, Validate project details, Validate stakeholder details, Update internal datasets, Update tracking systems", "domainKnowledge" : "Renewable energy sector; Solar energy; Wind energy; Biogas energy; Infrastructure projects; Energy projects", "domainList" : [ "renewable-energy-sector", "solar-energy", "wind-energy", "biogas-energy", "infrastructure-projects", "energy-projects" ], "domainSpecificKnowledge" : [ "Renewable energy sector", "Solar energy", "Wind energy", "Biogas energy", "Infrastructure projects", "Energy projects" ], "qualificationsBasic" : "Basic knowledge of energy projects, Basic knowledge of infrastructure projects, Basic knowledge of planning processes, Basic knowledge of permitting processes", "qualificationsPreferred" : "Solid understanding of renewable energy technologies, Good knowledge of solar technologies, Good knowledge of wind technologies, Good knowledge of biogas technologies, Good knowledge of related infrastructure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Unison is a telecom and renewables infrastructure investment firm funded in partnership with Ardian - the global investment house based in Paris with over $150 billion in assets under management. Unison commenced operations in 2003 and today invests in real estate and infrastructure hosting wireless and renewables tenants in the United States and Europe. The Company is expanding rapidly and looking for talented, entrepreneurial team members to grow with us. English Version We are looking for a motivated and detail-oriented Intern to join our team in Milan, supporting our data acquisition and optimisation activities within the renewable energy sector. This is an excellent opportunity for someone with a strong interest and foundational knowledge in renewable energy to gain hands-on experience working with real project data across Europe. Key Responsibilities Data entry and ongoing data quality management Research and validation of renewable energy project information Telephone-based validation of project and stakeholder details Support updates to internal datasets and tracking systems Ideal Profile Solid understanding of renewable energy technologies, including solar, wind, biogas, and related infrastructure Basic knowledge of how energy or infrastructure projects are structured, including planning and permitting processes Strong attention to detail and confidence working with data Comfortable conducting research and phone-based validation work Location Milan, Italy What We Offer Hands-on experience in a fast-growing renewable energy environment Exposure to large-scale infrastructure data and market analysis Opportunity to develop research and data management skills in a professional setting Versione Italiana Stiamo cercando un/una tirocinante motivato/a e orientato/a ai dettagli da inserire nel nostro team a Milano, a supporto delle attività di acquisizione e ottimizzazione dei dati nel settore delle energie rinnovabili. Questa rappresenta un’eccellente opportunità per candidati con forte interesse e conoscenze di base nel settore delle energie rinnovabili, per acquisire esperienza pratica lavorando con dati reali relativi a progetti in tutta Europa. Responsabilità principali Inserimento dati e gestione continua della qualità dei dati Ricerca e validazione di informazioni su progetti di energia rinnovabile Attività di validazione telefonica di dati relativi a progetti e stakeholder Supporto nell’aggiornamento di database interni e sistemi di monitoraggio Profilo ideale Buona conoscenza delle tecnologie legate alle energie rinnovabili, tra cui solare, eolico, biogas e infrastrutture correlate Conoscenza di base della struttura dei progetti energetici o infrastrutturali, inclusi i processi di pianificazione e autorizzazione Elevata attenzione ai dettagli e dimestichezza nell’utilizzo e gestione dei dati Disponibilità a svolgere attività di ricerca e validazione telefonica Sede Milano, Italia Cosa offriamo Esperienza pratica in un contesto dinamico e in forte crescita nel settore delle energie rinnovabili Esposizione a dati su infrastrutture su larga scala e analisi di mercato Opportunità di sviluppare competenze di ricerca e gestione dei dati in un contesto professionale", "summaryDescription" : "Renewables Data Researcher Intern at Unison. Skills: Renewable energy, Data acquisition, Data validation. Enter data. Manage data quality", "postedDate" : "2026-06-15T12:28:47.281", "createdAt" : "2026-06-15T12:28:47.281", "lastUpdated" : "2026-06-16T11:05:09.037", "ingestTimestamp" : "2026-06-16T03:22:19.700", "mongoId" : "6a305f8bf292fd229cf7de69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data entry", "Renewable energy", "Data acquisition", "Data validation", "Data quality management", "Data management", "Renewable energy sector", "Solar energy", "Wind energy", "Biogas energy", "Infrastructure projects", "Energy projects" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e1f9bc74574cb6752f6", "title" : "Data Science Intern", "company" : "Amentum", "industry" : "Government", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for Data Science Intern roles in Houston, adjusted for entry-level seniority and the government industry." }, "location" : "United States-Texas-Houston", "locations" : [ "United States-Texas-Houston" ], "timestamp" : "2026-06-15T10:44:37.676", "fingerprint" : "c94ddf8dbce3e6c06a74112274e62592c174acfb128760b57ffff399e574b2df", "source" : "taleo", "language" : "en", "applyUrl" : "https://jacobs.taleo.net/careersection/ex/jobdetail.ftl?job=323957", "externalId" : "323957", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, R, Scala, Spark, SQL, Machine learning, Artificial intelligence, Autonomy research, Data science", "professionalSkills" : [ "Risk analysis", "Planning" ], "hardSkillsList" : [ "Coding", "Statistical analysis" ], "hardSkills" : [ { "name" : "Coding", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Artificial intelligence", "majorSkillsList" : [ "Data science", "Machine learning", "Artificial intelligence" ], "coreResponsibilities" : "Develop models to calculate risk analysis, Support work that applies risk-bounded planning, Develop code that supports concept development, Utilize machine learning skills, Utilize artificial intelligence skills, Utilize autonomy research skills, Utilize coding skills, Utilize data science skills", "teamCollaboration" : "Computer scientists; Engineers", "domainKnowledge" : "Human space exploration; Planetary exploration; Robotic exploration; Moon exploration; Mars exploration", "domainList" : [ "human-space-exploration", "planetary-exploration", "robotic-exploration", "moon-exploration", "mars-exploration" ], "domainSpecificKnowledge" : [ "Human space exploration", "Planetary exploration", "Robotic exploration", "Moon exploration", "Mars exploration" ], "innovationCreativity" : "Creative ideas", "specialRequirements" : "On-site work, Complete background investigation, Physical lifting", "qualificationsBasic" : "BS degree, Proof of U.S. Citizenship or US Permanent Residency", "qualificationsPreferred" : "Graduate student (MS or PhD), STEM field, Computer science, AI, software engineering, mechanical engineering, or aerospace engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you! We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA’s pursuits in deep space exploration. As NASA’s largest engineering solutions provider working together with NASA at centers across the United States. Amentum seeks to fill a Data Science Intern position within the JETS II Science and Exploration Department with University of Nevada Las Vegas, a subcontractor company. This candidate must reside or be willing to relocate to Houston, TX for on-site work requirements at NASA Johnson Space Center in Houston, TX. The approximate dates for this internship are May 16 – August 14, 2026. This is a temporary role not to exceed 14 weeks. The Data Science Intern will: Work with computer scientists and engineers to develop models to calculate risk analysis Support work that applies risk-bounded planning for human planetary exploration Develop code that supports concept development for robotic and human exploration on the Moon or Mars Utilize machine learning, artificial intelligence, autonomy research, coding, and data science skills Requisition Qualifications: This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised. Intern pursuing BS degree Requisition Preferences: Graduate student (MS or PhD) in a STEM field Graduate student (MS or PhD) in computer science, AI, software engineering, mechanical engineering, or aerospace engineering . Why Join Our Team? In addition to exciting career opportunities, we also have: Excellent personal and professional career growth 9/80 work schedule (every other Friday off), when applicable Onsite cafeteria (breakfast & lunch) Much, much more! For more information on our partnership with NASA at Johnson Space Center (JSC), please visit www.wehavespaceforyou.com Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position. Must be able to complete a U.S. government background investigation. Management has the prerogative to select at any level for which the position is advertised. Essential Functions Work Environment Generally, an office environment, but can involve inside or outside work depending on task. Physical Requirements Work may involve sitting or standing for extended periods (90% of time). May require lifting and carrying up to 25 lbs. (5% of time). Equipment and Machines Standard office equipment (PC, telephone, printer, etc.). Attendance Regular attendance in accordance with established work schedule is critical. Ability to work outside normal schedule and adjust schedule to meet peak periods and surge requirements. Other Essential Functions Professional behavior that enhances productivity and promotes teamwork and cooperation. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. #JETS #JETSII United States-Texas-Houston-20331-ESCG", "summaryDescription" : "Data Science Intern at Amentum. Skills: Data science, Machine learning, Artificial intelligence. Develop models to calculate risk analysis. 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More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all. Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change. On the IoT team, you will dive deep into the data our devices generate and play a real part in turning it into meaningful impact. You will work alongside experienced data scientists and engineers to clean, analyse and mine large datasets, uncovering patterns that power use cases such as safe-driving analysis. This is a great opportunity to apply your data skills to real-world problems, learn how a large-scale data platform works, and grow under the guidance of a friendly team. If you are curious about data and excited by the potential of IoT, we would love to hear from you! The Day-to-Day Activities * Collect, clean and organise large datasets uploaded from IoT devices, such as sensor signals, GPS traces, images and videos. * Perform exploratory data analysis to identify patterns, anomalies and useful features in the data. * Support the team in building and evaluating data mining and machine learning models, for example for safe-driving analysis. * Create clear charts, dashboards and reports to communicate your findings to the team. * Write tidy, reproducible code and keep simple documentation of your work. * Collaborate with data scientists, engineers and product managers to understand questions and share results. ## Qualifications * Currently pursuing a degree in Computer Science, Data Science, Statistics, Engineering or a related field. * Working knowledge of Python and SQL for data analysis. * A solid foundation in statistics and basic data analysis. * A genuine passion for data mining, with strong curiosity and a fast learning ability. * Good teamwork and communication skills, and a basic command of English (reading and writing). ## Additional Information Benefits at Grab: We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer: * Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance. * Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive. * Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave. * Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges. * Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals. * Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life. We’ve got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more. What we stand for at Grab: We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying. We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.", "summaryDescription" : "IoT Data Analysis - Intern at Grab. Skills: Data analysis, Machine learning, Business intelligence. Analyze large datasets. Develop data models", "postedDate" : "2026-06-10T08:41:41.000", "createdAt" : "2026-06-14T19:30:10.703", "lastUpdated" : "2026-06-16T01:23:52.390", "ingestTimestamp" : "2026-06-14T19:30:10.703", "mongoId" : "6a2d3ebf74d8ee00a0b34143", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Statistical modeling", "Machine learning", "Business intelligence", "Data engineering", "E-commerce", "Logistics", "Ride-sharing", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "AWS", "GCP", "Azure" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68dd1eeace260f92cbea0c2d", "title" : "Manufacturing Test Engr Intern", "company" : "Amazon Corporate Services Vietnam Company Limited", "industry" : "Hardware Development, studentprograms", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Entry-level Manufacturing Test Engineer Intern in Hanoi, Vietnam, adjusted for the technology industry and large company size." }, "location" : "Hanoi, VNM", "locations" : [ "Hanoi, VNM" ], "timestamp" : "2026-06-15T04:12:40.596", "fingerprint" : "0c92c04a2d20eb039c6ff60f2844bf42e272a7d5e27c533204dacb918abb6ef2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3098698/apply", "externalId" : "c3cdc257-9acc-4d3d-b649-e9db3a61c8a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hanoi", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "21.0283334,105.8540410" } ], "locationText" : "Hanoi, Vietnam", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Embedded Software Development", "professionalSkills" : [ "Manufacturing test development" ], "hardSkillsList" : [ "Electronics circuit diagrams" ], "hardSkills" : [ { "name" : "Electronics circuit diagrams", "level" : "intermediate" } ], "majorSkills" : "Manufacturing test", "majorSkillsList" : [ "Manufacturing test" ], "coreResponsibilities" : "Serve as test lead, Ensure quality of test systems, Execute manufacturing test systems, Communicate technical information, Communicate status, Decompose complex problems, Develop test plans, Develop test-setup prototypes", "teamCollaboration" : "Cross-functional projects", "domainKnowledge" : "Consumer electronics manufacturing", "domainList" : [ "consumer-electronics-manufacturing" ], "domainSpecificKnowledge" : [ "Consumer electronics manufacturing" ], "communicationSkills" : "Technical information", "innovationCreativity" : "Innovate and solve problems; High ambiguity problems; High impact problems", "problemSolvingSkills" : "Solve challenging problems; Functionally decompose complex problems; Simple straight-forward solutions", "specialRequirements" : "Travel domestically, Travel internationally", "qualificationsBasic" : "Bachelors or Masters degree, Experience building production systems, Understand electronics circuit diagrams, Knowledge of software engineering practices, Experience in development lifecycle, Experienced shipping products, Travel required", "qualificationsPreferred" : "Advanced degree, Sharp analytical abilities, Proven design skills, Knowledgeable in statistics, Experience developing software, Design for security, Design for availability, Design for performance, Experience in Embedded Software Development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Advanced Manufacturing Engineering Team is a team which disrupts manufacturing with latest technological solutions while digitizing assembly and now we are taking it to the next level. Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, Amazon Echo and Amazon Show. The Amazon Devices group delivers delightfully unique Amazon experiences, giving customers instant access to everything, digital or physical. Key job responsibilities As a Manufacturing Test Development Engineer intern, you’ll have a unique opportunity to shape the development and future of the AME Manufacturing Test team. You are data and metric driven, and obsessively concerned about performance under resource constrained environments. In this role you innovate and solve problems of high ambiguity and high impact. You will drive design choices, trade-offs, priorities and timelines. You will demonstrate exceptional communication skills and technical expertise to drive and influence manufacturing test development and execution. Joining the AME Manufacturing Test team gives you the opportunity to: • Work on existing and new groundbreaking devices • Solve challenging problems that will revolutionize manufacturing and test A day in the life The ideal candidate will have experience contributing to multiple simultaneous product development efforts. You’ll strive for simplicity, and demonstrate significant creativity and high judgment. As a Manufacturing Test Engineer at Amazon you’ll be expected to: • Serve as a test lead on our demanding, cross-functional projects with significant bottom-line impact. • Ensure the quality and execution of our manufacturing test systems • Proactively communicate technical information and status to broad, cross-functional teams • Functionally decompose complex problems into simple, straight-forward solutions. • Understand system inter-dependencies and limitations • Develop test plans and test-setup prototypes for new technologies About the team Highly skilled individuals working collaboratively to solve complex issues and coming up with new ways to improve the overall product design testing in order to delight our customers. Basic Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field - Experience building and operating production systems with at least one modern language - Understand and read electronics circuit diagrams and schematics - Knowledge of full life-cycle software engineering practices including coding standards, testing, source control management, and operations - Experience in development lifecycle processes and best practices. - Experienced shipping products. - Travel domestically and internationally as required Preferred Qualifications: - Advanced degree in Computer Science, Engineering, or a related field - Sharp analytical abilities and proven design skills. - Knowledgeable in statistics - Experience developing software and an understanding of design for security, availability, and performance. - Experience in Embedded Software Development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manufacturing Test Engr Intern at Amazon Corporate Services Vietnam Company Limited. Skills: Manufacturing test. Serve as test lead. Ensure quality of test systems", "postedDate" : "2026-06-13T08:58:24.266", "createdAt" : "2026-06-13T08:58:24.266", "lastUpdated" : "2026-06-15T04:12:40.596", "ingestTimestamp" : "2026-06-13T08:58:24.266", "mongoId" : "68dd1eeace260f92cbea0c2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3098698/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Electronics circuit diagrams", "Manufacturing test", "Manufacturing test development", "Consumer electronics manufacturing" ], "skillCount" : 4, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a308ec6f292fd229c0a5233", "title" : "Data Analytics & Engineering INTERN", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analytics & Engineering Intern in Biñan, Philippines, adjusted for the technology industry and internship role." }, "location" : "Biñan, LAGUNA, PH", "locations" : [ "Biñan", "LAGUNA", "PH" ], "timestamp" : "2026-06-16T12:11:05.693", "fingerprint" : "81ee7f4e2558044287af2e77108fcab58e5757ca417bb6bd10f72187c7aa8758", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106259-data-analytics-engineering-intern", "externalId" : "744000132106259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Biñan", "state" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.3388259,121.0841826" } ], "locationText" : "Biñan, Laguna, Philippines", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "Python, R, SQL, Power BI, Tableau", "hardSkillsList" : [ "Statistical modeling", "Machine learning basics", "ETL processes" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning basics", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Data Engineering" ], "coreResponsibilities" : "Analyze engineering and manufacturing data, Identify trends, issues, and improvement opportunities, Support process monitoring, Support process optimization, Support process documentation, Work with engineers on experiments, Work with engineers on tests, Work with engineers on technical evaluations, Develop dashboards for operational metrics, Develop dashboards for process metrics, Develop reports for operational metrics, Develop reports for process metrics, Participate in problem-solving activities, Participate in root cause analysis activities, Contribute to design of experiments, Contribute to statistical studies, Support data cleaning, Support data validation, Support ETL-related tasks, Prepare technical summaries of findings, Prepare presentations of findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advanced manufacturing; Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-16T03:34:20.306", "lastUpdated" : "2026-06-16T12:11:05.693", "ingestTimestamp" : "2026-06-16T03:34:20.306", "mongoId" : "6a308ec6f292fd229c0a5233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f24f292fd229cee57da", "title" : "Data Analytics & Engineering INTERN", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analytics & Engineering Intern in Biñan, Philippines, adjusted for the technology industry and internship role." }, "location" : "Biñan, LAGUNA, PH", "locations" : [ "Biñan", "LAGUNA", "PH" ], "timestamp" : "2026-06-16T04:35:28.813", "fingerprint" : "ef3e0f9d2b5464e255e116bd3a61dd5dcef426cbad4f6ace0c77ac76fc5ab58b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106259-data-analytics-engineering-intern", "externalId" : "744000132106259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Biñan", "state" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.3388259,121.0841826" } ], "locationText" : "Biñan, Laguna, Philippines", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "Python, R, SQL, Power BI, Tableau", "hardSkillsList" : [ "Statistical modeling", "Machine learning basics", "ETL processes" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning basics", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Data Engineering" ], "coreResponsibilities" : "Analyze engineering and manufacturing data, Identify trends, issues, and improvement opportunities, Support process monitoring, Support process optimization, Support process documentation, Work with engineers on experiments, Work with engineers on tests, Work with engineers on technical evaluations, Develop dashboards for operational metrics, Develop dashboards for process metrics, Develop reports for operational metrics, Develop reports for process metrics, Participate in problem-solving, Participate in root cause analysis, Contribute to design of experiments, Contribute to statistical studies, Support data cleaning, Support data validation, Support ETL-related tasks, Prepare technical summaries, Prepare presentations of findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advanced manufacturing; Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-15T21:31:38.376", "lastUpdated" : "2026-06-16T04:35:28.813", "ingestTimestamp" : "2026-06-15T21:31:38.376", "mongoId" : "6a304f24f292fd229cee57da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d4c2374d8ee00a0b5e7af", "title" : "IoT Data Analysis - Intern", "company" : "Grab", "industry" : "Information Technology And Services", "location" : "Beijing, CN", "locations" : [ "Beijing", "CN" ], "timestamp" : "2026-06-15T09:33:54.566", "fingerprint" : "201199aca1ba3f15d219a4a76e99f95564a2d0c1b6b7933e6a99a5562e2f383d", "source" : "smartrecruiters", "applyUrl" : "https://jobs.smartrecruiters.com/Grab/744000131399608-iot-data-analysis-intern-beijing-", "externalId" : "744000131399608", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Beijing, China", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor", "experienceMinYears" : 0, "experienceMaxYears" : 1, "experienceLevel" : "internship", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "IoT" ], "hardSkillsList" : [ "Python", "SQL" ], "softSkillsList" : [ "curiosity, fast learning ability, teamwork, communication skills" ], "hardSkills" : [ { "name" : "Python", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curiosity, fast learning ability, teamwork, communication skills" } ], "majorSkills" : "Python, SQL, data analysis, data mining, machine learning", "majorSkillsList" : [ "Python, SQL, data analysis, data mining, machine learning" ], "coreResponsibilities" : "Collect, clean and organise large datasets uploaded from IoT devices, such as sensor signals, GPS traces, images and videos. Perform exploratory data analysis to identify patterns, anomalies and useful features in the data. Support the team in building and evaluating data mining and machine learning models, for example for safe-driving analysis. Create clear charts, dashboards and reports to communicate your findings to the team. Write tidy, reproducible code and keep simple documentation of your work. Collaborate with data scientists, engineers and product managers to understand questions and share results.", "teamCollaboration" : "Collaborate with data scientists, engineers and product managers to understand questions and share results.", "communicationSkills" : "basic command of English (reading and writing)", "documentationSkills" : "simple documentation", "continuousLearning" : "grow under the guidance of a friendly team", "problemSolvingSkills" : "data mining; machine learning models; safe-driving analysis", "outcomesObjectives" : "turning it into meaningful impact", "qualificationsBasic" : "Currently pursuing a degree in Computer Science, Data Science, Statistics, Engineering or a related field. Working knowledge of Python and SQL for data analysis. A solid foundation in statistics and basic data analysis. A genuine passion for data mining, with curiosity and a fast learning ability. Good teamwork and communication skills, and a basic command of English (reading and writing).", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Grab and our workplace Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all. Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change. On the IoT team, you will dive deep into the data our devices generate and play a real part in turning it into meaningful impact. You will work alongside experienced data scientists and engineers to clean, analyse and mine large datasets, uncovering patterns that power use cases such as safe-driving analysis. This is a great opportunity to apply your data skills to real-world problems, learn how a large-scale data platform works, and grow under the guidance of a friendly team. If you are curious about data and excited by the potential of IoT, we would love to hear from you! The Day-to-Day Activities * Collect, clean and organise large datasets uploaded from IoT devices, such as sensor signals, GPS traces, images and videos. * Perform exploratory data analysis to identify patterns, anomalies and useful features in the data. * Support the team in building and evaluating data mining and machine learning models, for example for safe-driving analysis. * Create clear charts, dashboards and reports to communicate your findings to the team. * Write tidy, reproducible code and keep simple documentation of your work. * Collaborate with data scientists, engineers and product managers to understand questions and share results. ## Qualifications * Currently pursuing a degree in Computer Science, Data Science, Statistics, Engineering or a related field. * Working knowledge of Python and SQL for data analysis. * A solid foundation in statistics and basic data analysis. * A genuine passion for data mining, with strong curiosity and a fast learning ability. * Good teamwork and communication skills, and a basic command of English (reading and writing). ## Additional Information Benefits at Grab: We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer: * Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance. * Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive. * Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave. * Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges. * Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals. * Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life. We’ve got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more. What we stand for at Grab: We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying. We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.", "summaryDescription" : "IoT Data Analysis - Intern at Grab. Skills: Python, SQL, data analysis, data mining, machine learning. Collect, clean and organise large datasets uploaded from IoT devices, such as sensor signals, GPS traces, images and videos. Perform exploratory data analysis to identify patterns, anomalies and useful features in the data. Support the team in building and evaluating data mining and machine learning models, for example for safe-driving analysis. Create clear charts, dashboards and reports to co", "postedDate" : "2026-06-10T08:41:41.000", "createdAt" : "2026-06-14T20:24:48.944", "lastUpdated" : "2026-06-15T09:33:54.566", "ingestTimestamp" : "2026-06-14T20:24:48.944", "mongoId" : "6a2d4c2374d8ee00a0b5e7af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Python", "SQL", "curiosity, fast learning ability, teamwork, communication skills", "Python, SQL, data analysis, data mining, machine learning", "IoT" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa78b", "title" : "System and Process Project Manager", "industry" : "Project Management", "salary" : { "min" : 110000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:02:06.669", "fingerprint" : "8b878e1ae4ab6de4c81ccc330f01ce6d0c95b7cd06a7bca9bd7de95540aa0305", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/cadbb591-e8ba-47e6-ab4b-e5d4ca37e47c/apply", "externalId" : "cadbb591-e8ba-47e6-ab4b-e5d4ca37e47c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Database management, System administration, IT project management", "professionalSkills" : [ "Enhancement tracking", "Modification planning", "Execution of updates", "System audits", "Performance assessments", "Data governance", "Data sharing processes", "FOIA requests", "Database import/export", "System stability", "System reliability", "Quality assurance", "Forensic standards", "Compliance standards", "Operational standards", "Functional testing", "Performance testing", "Analytical skills", "Problem-solving skills", "Documentation skills", "Training users", "Guiding users", "Supporting users", "Communication skills", "Collaboration skills", "Working across teams" ], "hardSkillsList" : [ "Database management", "System administration", "IT project management", "Functional testing", "Performance testing", "Data governance", "System compliance", "Information security", "ISO standards", "Forensic QA", "Regulatory compliance", "System audits", "Corrective actions" ], "hardSkills" : [ { "name" : "Database management", "level" : "intermediate" }, { "name" : "System administration", "level" : "intermediate" }, { "name" : "IT project management", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "System compliance", "level" : "intermediate" }, { "name" : "Information security", "level" : "intermediate" }, { "name" : "ISO standards", "level" : "intermediate" }, { "name" : "Forensic QA", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "System audits", "level" : "intermediate" }, { "name" : "Corrective actions", "level" : "intermediate" } ], "majorSkills" : "Database management, System administration, IT project management, Data governance", "majorSkillsList" : [ "Database management", "System administration", "IT project management", "Data governance" ], "coreResponsibilities" : "Oversee system performance, Oversee system functionality, Oversee system integration, Oversee system enhancement, Manage system improvement initiatives, Track system enhancements, Plan system modifications, Execute system updates, Conduct system audits, Assess system performance, Serve as liaison, Translate business needs, Monitor system issues, Monitor user feedback, Monitor operational metrics, Provide optimization recommendations, Provide enhancement recommendations, Support data governance activities, Manage data sharing processes, Manage FOIA requests, Manage database import/export, Collaborate with technical teams, Ensure system stability, Ensure system reliability, Ensure continuous improvement, Contribute to quality assurance, Ensure system functionality meets standards", "teamCollaboration" : "Users; Program staff; Engineers; External agencies; Technical teams; Non-technical teams; Diverse stakeholders", "projectManagementSkills" : [ "IT project management" ], "domainKnowledge" : "public safety; forensic environments; government environments; data governance; system compliance; information security; ISO standards; forensic quality assurance; regulatory compliance frameworks; secure environments; classified environments", "domainList" : [ "public-safety", "forensic-environments", "government-environments", "data-governance", "system-compliance", "information-security", "iso-standards", "forensic-quality-assurance", "regulatory-compliance-frameworks", "secure-environments", "classified-environments" ], "domainSpecificKnowledge" : [ "public safety", "forensic environments", "government environments", "data governance", "system compliance", "information security", "ISO standards", "forensic quality assurance", "regulatory compliance frameworks", "secure environments", "classified environments" ], "communicationSkills" : "Excellent communication skills", "documentationSkills" : "Documentation skills", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "U.S. citizenship, MBI clearance eligibility, Moderate travel requirement (up to 20%)", "qualificationsBasic" : "Master's degree, 5+ years database management, 5+ years system administration, 5+ years IT project management, 4+ years functional testing, 4+ years performance testing, Understanding data governance, Understanding system compliance, Understanding information security, Knowledge of ISO standards, Knowledge of forensic QA, Knowledge of regulatory compliance, Experience conducting system audits, Analytical skills, Problem-solving skills, Documentation skills, Ability to train users, Ability to guide users, Ability to support users, Excellent communication skills, Excellent collaboration skills, U.S. citizenship, MBI clearance eligibility", "qualificationsPreferred" : "Experience in public safety environments, Experience in forensic environments, Experience with secure environments, Experience with classified environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Oversee the performance, functionality, integration, and enhancement of a complex database system, ensuring alignment with operational and program requirements. Manage system improvement initiatives, including enhancement tracking, modification planning, and execution of updates to improve usability and performance. Conduct system audits and performance assessments to ensure compliance with internal policies, security standards, and regulatory requirements. Serve as the primary liaison between users, program staff, engineers, and external agencies to translate business needs into technical requirements. Monitor system issues, user feedback, and operational metrics, providing recommendations for optimization and future enhancements. Support data governance activities, including management of data sharing processes, FOIA-related requests, and database import/export functions. Collaborate with technical teams to ensure system stability, reliability, and continuous improvement across all functional areas. Contribute to quality assurance processes, ensuring system functionality meets forensic, compliance, and operational standards. Requirements Master’s degree in Criminal Justice, Computer Science, Information Systems, or a related technical or analytical field. 5+ years of experience in database management, system administration, or IT project management, ideally within public safety, forensic, or government environments. 4+ years of experience in functional and performance testing of database or enterprise systems. Strong understanding of data governance, system compliance, and information security principles. Knowledge of ISO standards, forensic quality assurance protocols, and regulatory compliance frameworks. Experience conducting system audits, identifying issues, and implementing corrective actions. Strong analytical, problem-solving, and documentation skills with attention to detail. Ability to train, guide, and support users on system processes and quality assurance best practices. Excellent communication and collaboration skills, with experience working across technical and non-technical teams. Experience with secure or classified environments is highly desirable. U.S. citizenship and eligibility to obtain a Moderate Risk Background Investigation (MBI) clearance required. Benefits Annual salary range of $110,000 to $120,000. Fully remote position with nationwide flexibility. Opportunity to work on mission-critical systems supporting public safety and national programs. Exposure to complex database systems, compliance frameworks, and high-impact operational environments. Professional growth within a highly technical, regulated, and purpose-driven setting. Collaborative, cross-functional work environment with diverse stakeholders. Competitive benefits package including healthcare, retirement, and paid time off (subject to employer policies). Moderate travel requirement (up to 20%) for meetings, coordination, and project support activities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "System and Process Project Manager. Skills: Database management, System administration, IT project management, Data governance. Oversee system performance. Oversee system functionality", "postedDate" : "2026-06-15T09:38:03.413", "createdAt" : "2026-06-15T09:38:03.413", "lastUpdated" : "2026-06-16T12:02:06.669", "ingestTimestamp" : "2026-06-16T03:22:40.295", "mongoId" : "6a30511af292fd229cefa78b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 120000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Database management", "System administration", "IT project management", "Functional testing", "Performance testing", "Data governance", "System compliance", "Information security", "ISO standards", "Forensic QA", "Regulatory compliance", "System audits", "Corrective actions", "Enhancement tracking", "Modification planning", "Execution of updates", "Performance assessments", "Data sharing processes", "FOIA requests", "Database import/export", "System stability", "System reliability", "Quality assurance", "Forensic standards", "Compliance standards", "Operational standards", "Analytical skills", "Problem-solving skills", "Documentation skills", "Training users", "Guiding users", "Supporting users", "Communication skills", "Collaboration skills", "Working across teams", "public safety", "forensic environments", "government environments", "data governance", "system compliance", "information security", "forensic quality assurance", "regulatory compliance frameworks", "secure environments", "classified environments" ], "skillCount" : 45, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ceb9074d8ee00a0a7670e", "title" : "Advanced Manufacturing Technician", "company" : "Formative 3D", "industry" : "Manufacturing", "salary" : { "min" : 52000.0, "max" : 71000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Advanced Manufacturing Technician in Falls Church, United States, adjusted for industry and company size." }, "location" : "Falls Church, Virginia, United States", "locations" : [ "Falls Church", "Virginia", "United States" ], "timestamp" : "2026-06-15T07:51:20.971", "fingerprint" : "fcf907af011482224241d6409f959aa54a25ecca8228395821077d93f6f632aa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/strategichr/jobs/7772180003", "externalId" : "7772180003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Falls Church", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8823340,-77.1710914" } ], "locationText" : "Falls Church, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "domainKnowledge" : "Large-format 3D printing; Modular furniture systems; Additive manufacturing technologies", "domainList" : [ "large-format-3d-printing", "modular-furniture-systems", "additive-manufacturing-technologies" ], "domainSpecificKnowledge" : [ "Large-format 3D printing", "Modular furniture systems", "Additive manufacturing technologies" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Opportunity: Advanced Manufacturing Technician with Formative 3D in Falls Church, VA Are you energized by hands-on work that blends cutting-edge technology with real-world manufacturing? Do you thrive in fast-paced, startup environments where quality, ownership, and innovation matter? Ready to help build scalable, sustainable products using large-format 3D printing? If so, we’d love to meet you! As an Advanced Manufacturing Technician, you’ll be at the core of our production operations, supporting the launch and growth of our new manufacturing facility. You’ll operate and maintain large-format robotic and FDM 3D printers, prepare and manage print jobs, post-process components, and ensure every part meets our quality standards. This is a unique opportunity to join a growing startup at the ground floor and play a hands-on role in shaping innovative, modular furniture systems using advanced additive manufacturing technologies. Key Responsibilities You will work closely with production, engineering, and design teams to: Operate and maintain large-format robotic and FDM 3D printers for component-based production Slice 3D models using PrusaSlicer and related software to generate print-ready G-code Manage pellet and filament inventory (PLA, PETG, etc.) and load materials to meet production demand Schedule, queue, and monitor print jobs across a fleet of printers to support 24/7 output Track material usage, print cycle times, and conduct quality inspections on all manufactured parts Harvest prints and perform post-processing, including support removal and part cleaning Troubleshoot printer issues and perform routine maintenance and calibration Fabricate jigs, fixtures, and other shop equipment as needed Maintain a clean, organized, and safe production environment Document production data and contribute to continuous improvement initiatives Collaborate with engineering and design teams to optimize print quality and efficiency Qualifications: 1+ years of experience in additive manufacturing, FDM printing, or related production environments (e.g., woodworking, metalworking, aerospace, CNC) Strong mechanical aptitude with hands-on problem-solving skills Comfort operating hand tools, power tools, and fabrication equipment Familiarity with PrusaSlicer and 3D modeling software such as Fusion 360 (preferred) Experience working with networked PC-based systems (MS Office, ERP systems) Detail-oriented mindset with a strong commitment to quality and safety Ability to work effectively in a fast-paced, startup environment Physical ability to lift up to 50 lbs and stand for extended periods Willingness to work weekends as needed What We Offer: Compensation commensurate with experience Full suite of healthcare benefits, including medical, dental, and vision Competitive PTO plans Competitive retirement plans Why Join Formative 3D? Built environments can be manufactured the same way the best technology products are: faster, smarter and at scale. Formative 3D deploys full-scale manufacturing solutions built for speed, flexibility and real-world impact. By combining advanced 3D printing, robotics and technology, we rethink how physical products for the built world are created — from concept to installation. We design and manufacture products that range from high-end furniture systems and architectural lighting to jigs, fixtures, and tooling. Formative 3D pushes additive manufacturing forward and sets a new standard for how the built environment gets made. After years of research, our first production facility launched in 2026, and we’re already proving that a new model of manufacturing isn’t theoretical; it’s operational. Apply online today to join a great team! Formative 3D is an Equal Opportunity Employer. We are committed to hiring and developing the most qualified individuals based on job-related experience, skills, and merit. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We value a respectful, inclusive workplace where everyone has the opportunity to succeed. Formative 3D maintains a drug-free workplace consistent with applicable local, state, and federal laws. #ZR", "summaryDescription" : "Advanced Manufacturing Technician at Formative 3D", "postedDate" : "2026-06-13T23:31:19.081", "createdAt" : "2026-06-13T23:31:19.081", "lastUpdated" : "2026-06-15T07:51:20.971", "ingestTimestamp" : "2026-06-13T23:31:19.081", "mongoId" : "6a2ceb9074d8ee00a0a7670e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 71000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Large-format 3D printing", "Modular furniture systems", "Additive manufacturing technologies" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a688574d8ee00a0634706", "title" : "Intern - Manufacturing Technician (Dry Etch)", "company" : "Micron", "industry" : "Semiconductor Manufacturing", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level manufacturing technician roles in Singapore, adjusted for the technology industry and company size." }, "location" : "Fab 10N/X, Singapore", "locations" : [ "Fab 10N/X, Singapore" ], "timestamp" : "2026-06-13T10:52:41.586", "fingerprint" : "ec17264cb43a9902b4272d16818a799b3cc665e0576040f18d3d7b1c8dabf507", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Manufacturing-Technician--Dry-Etch-_JR102746", "externalId" : "JR102746", "industryFunction" : { }, "locationPoint" : "20.16542,-88.46398", "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Data analytics, Data visualization", "professionalSkills" : [ "Analytical thinking", "Problem-solving" ], "hardSkillsList" : [ "Data analysis", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Automation solutions, Data analytics, Deviation detection", "majorSkillsList" : [ "Automation solutions", "Data analytics", "Deviation detection" ], "coreResponsibilities" : "Develop automation solutions, Improve engineering workflow efficiency, Apply data analytics techniques, Monitor equipment parameters, Detect deviations, Build understanding of equipment behaviour, Analyze equipment parameters, Evaluate correlations across datasets, Study equipment matching, Study performance trends, Enhance process visibility, Enhance data-driven decision-making, Replace manual touches, Replace manual data pulling", "teamCollaboration" : "Engineering stakeholders; Equipment engineering team", "domainKnowledge" : "Wafer processing; Equipment parameters; Semiconductor manufacturing", "domainList" : [ "wafer-processing", "equipment-parameters", "semiconductor-manufacturing" ], "domainSpecificKnowledge" : [ "Wafer processing", "Equipment parameters", "Semiconductor manufacturing" ], "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving; Data-driven decision-making", "outcomesObjectives" : "Improve productivity; Enhance deviation detection", "qualificationsBasic" : "Basic knowledge of data analytics, Basic knowledge of data visualization, Programming or scripting exposure", "qualificationsPreferred" : "Data analytics related courses", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. * **Summary:** Applying automation software to improve productivity of the equipment engineering team. Learn about the importance of equipment parameters to wafer processing and apply data analytics on them for monitoring and deviation detection. * **Department:** Manufacturing Dry Etch * **Project Title:** Developing Automation Solutions to Improve Productivity and Enhancing Deviation Detection in Equipment Engineering * **Project Description:** This project focuses on the design and implementation of automation solutions to enhance productivity within the equipment engineering function in a semiconductor manufacturing environment. The intern will work closely with engineering stakeholders to understand equipment processes, key parameters influencing wafer fabrication, and current operational challenges that can be improved through automation. The intern will gain exposure to different automation platforms and data systems available within the organization, and learn how these tools are applied to streamline workflows and reduce reliance on manual data handling. In addition, the intern will explore the relationship between equipment parameters and process outcomes, and apply data analytics methods to monitor performance and identify deviations. Through this structured project, the intern will develop both technical and analytical capabilities while contributing to a defined improvement initiative within the engineering domain **Objective of the Project** * Develop automation solutions that improve engineering workflow efficiency * Apply data analytics techniques to equipment parameters for monitoring and deviation detection * Build understanding of equipment behaviour and its impact on wafer processing outcomes * **Scope:** * Design and implement automation solutions using available engineering tools and platforms * Develop automated data extraction, transformation, and visualization workflows * Analyze equipment parameters and evaluate correlations across datasets * Apply analytical techniques to study equipment matching and performance trends * Identify opportunities to enhance process visibility and data-driven decision-making * **Deliverable:** Automated way to replace manual touches and manual data pulling for day to day shift equipment team operation. Enhanced data monitoring to improve deviation detection. * **Impact of Project:** Improved productivity and deviation detection * **Skillset Require:** * Analytical thinking and problem-solving capability * Basic knowledge of data analytics and data visualization * Programming or scripting exposure is an advantage * Ability to interpret data and translate findings into engineering insights * **Course of interests:** Engineering, data analytics related courses. * **Duration Period:** min 5 months **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Intern - Manufacturing Technician (Dry Etch) at Micron. Skills: Automation solutions, Data analytics, Deviation detection. Develop automation solutions. Improve engineering workflow efficiency", "postedDate" : "2026-06-11T16:04:53.295", "createdAt" : "2026-06-11T16:04:53.234", "lastUpdated" : "2026-06-13T10:52:41.586", "ingestTimestamp" : "2026-06-11T16:04:53.234", "mongoId" : "6a2a688574d8ee00a0634706", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Manufacturing-Technician--Dry-Etch-_JR102746", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data visualization", "Automation solutions", "Data analytics", "Deviation detection", "Analytical thinking", "Problem-solving", "Wafer processing", "Equipment parameters", "Semiconductor manufacturing" ], "skillCount" : 10, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "6a2a688474d8ee00a06346b6", "title" : "Intern - Manufacturing Dry Etch Technician", "company" : "Micron", "industry" : "Semiconductor Manufacturing", "salary" : { "min" : 28000.0, "max" : 38000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Intern - Manufacturing Dry Etch Technician in Singapore, with adjustments for entry-level seniority and the technology industry." }, "location" : "Fab 10N/X, Singapore", "locations" : [ "Fab 10N/X, Singapore" ], "timestamp" : "2026-06-12T20:37:29.005", "fingerprint" : "81f3367534ce4dc14a0abd72b626e851855ecd348c0fbc11c1604f444add7cd7", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Manufacturing-Dry-Etch_JR99978", "externalId" : "JR99978", "industryFunction" : { }, "locationPoint" : "20.16542,-88.46398", "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Data analytics, Artificial intelligence", "professionalSkills" : [ "Equipment repair", "Component handling", "Process analysis", "Operational efficiency", "Lifecycle management", "Maintenance strategies" ], "hardSkillsList" : [ "Data analysis", "Data extraction", "Data preprocessing", "Data visualisation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Artificial intelligence, Operational improvement", "majorSkillsList" : [ "Data analytics", "Artificial intelligence", "Operational improvement" ], "coreResponsibilities" : "Understand equipment hardware, Understand system architecture, Explore preventive maintenance, Study repair practices, Analyse operational data, Design analytical tools, Develop dashboards, Build end-to-end workflow, Extract data, Preprocess data, Analyse data, Visualise data", "teamCollaboration" : "Engineering professionals; Subject matter experts", "domainKnowledge" : "Semiconductor dry etch; Dielectric operations; VantexB workstations; VantexBX workstations; Equipment lifecycle management", "domainList" : [ "semiconductor-dry-etch", "dielectric-operations", "vantexb-workstations", "vantexbx-workstations", "equipment-lifecycle-management" ], "domainSpecificKnowledge" : [ "Semiconductor dry etch", "Dielectric operations", "VantexB workstations", "VantexBX workstations", "Equipment lifecycle management" ], "toolProficiency" : [ "Microsoft Office" ], "documentationSkills" : "Documentation outlining methodology; Analysis findings; Recommendations", "continuousLearning" : "Structured learning; System understanding; Data analysis; Solution development; Exposure to semiconductor manufacturing; Practical application of data analytics; Practical application of AI; Understanding of equipment lifecycle; Understanding of maintenance strategies; Developing end-to-end analytical solutions; Collaboration with engineering professionals; Collaboration with subject matter experts", "innovationCreativity" : "Innovation; Pursuit of innovation", "problemSolvingSkills" : "Problem-solving skills; Identify inefficiencies; Data-driven decision-making", "outcomesObjectives" : "Improve equipment-related processes; Develop scalable solution; Improve repair loop process; Enhance visibility; Enhance decision-making; Functional end-to-end analytical solution; Data models; Visualisation dashboards; Reporting tools; Improved efficiency; Improved transparency; Enhanced data-driven decision-making; Contribution to continuous improvement", "qualificationsBasic" : "Basic knowledge of data analytics, Familiarity with Microsoft Office", "qualificationsPreferred" : "Interest in engineering systems, Interest in data analysis", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Project Title** Design and Development of Operational Improvement Tools for VantexB and VantexBX Workstations **Project Description** This internship project focuses on the application of data analytics and artificial intelligence techniques to enhance operations within the Dry Etch Dielectric team in a semiconductor manufacturing environment. The project provides exposure to VantexB and VantexBX equipment platforms used in dielectric etching processes. The intern will explore data-driven approaches to analyse operational performance, identify inefficiencies, and develop practical improvement tools. The project emphasises structured learning through system understanding, data analysis, and solution development, culminating in an end-to-end workflow from data extraction to visualisation of insights. **Objectives** Apply data analytics and artificial intelligence techniques to improve equipment-related processes Develop a structured and scalable solution for improving the repair loop process for equipment components Enhance visibility and decision-making through data-driven insights **Opportunities for Full Time Employment** High-performing interns may be considered for full-time positions, subject to business needs and individual performance. **Project Scope** The student will: * Develop understanding of semiconductor dry etch equipment hardware and system architecture * Explore preventive maintenance concepts and methodologies within a manufacturing setting * Study current practices in equipment repair and component handling processes * Analyse operational data related to equipment performance and repair workflows * Design and develop analytical tools or dashboards to improve operational efficiency * Build an end-to-end workflow including data extraction, preprocessing, analysis, and visualisation **Learning Opportunities** * Exposure to semiconductor manufacturing processes, particularly dry etch dielectric operations * Practical application of data analytics and artificial intelligence in an industrial environment * Understanding of equipment lifecycle management and maintenance strategies * Experience in developing end-to-end analytical solutions * Collaboration with engineering professionals and subject matter experts * Deliverables * A functional end-to-end analytical solution addressing equipment repair or operational improvement needs * Data models, visualisation dashboards, or reporting tools to enhance process visibility * Documentation outlining methodology, analysis findings, and recommendations **Impact of the Project** * Improved efficiency and transparency in equipment repair and operational workflows * Enhanced data-driven decision-making within the Dry Etch Dielectric team * Contribution to continuous improvement initiatives in semiconductor manufacturing operations **Skillsets Required** * Strong problem-solving skills * Basic knowledge of data analytics concepts * Familiarity with Microsoft Office applications * Interest in engineering systems and data analysis **Courses of Interest** * Engineering disciplines (e.g., Electrical, Mechanical, Chemical, or Materials Engineering) * Data Analytics or related fields **Duration Period** Minimum 6 months **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [hrsupport_sg@micron.com](mailto:hrsupport_jp@micron.com) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "Intern - Manufacturing Dry Etch Technician at Micron. Skills: Data analytics, Artificial intelligence, Operational improvement. Understand equipment hardware. Understand system architecture", "postedDate" : "2026-06-11T15:59:11.795", "createdAt" : "2026-06-11T15:59:11.629", "lastUpdated" : "2026-06-12T20:37:29.005", "ingestTimestamp" : "2026-06-11T15:59:11.629", "mongoId" : "6a2a688474d8ee00a06346b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---Manufacturing-Dry-Etch_JR99978", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data extraction", "Data preprocessing", "Data visualisation", "Data analytics", "Artificial intelligence", "Operational improvement", "Equipment repair", "Component handling", "Process analysis", "Operational efficiency", "Lifecycle management", "Maintenance strategies", "Semiconductor dry etch", "Dielectric operations", "VantexB workstations", "VantexBX workstations", "Equipment lifecycle management", "Microsoft Office" ], "skillCount" : 19, "jobCategory" : "engineering", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Semiconductor Manufacturing" }, { "id" : "69fd04b64c40e2acd1ae614b", "title" : "Vehicle Compliance & Analysis Junior Associate Consultant (Intern)", "company" : "Mercedes-Benz USA", "industry" : "Consulting", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Jacksonville, adjusted for company size and seniority." }, "location" : "United States of America-Florida-Jacksonville", "locations" : [ "United States of America-Florida-Jacksonville", "13470 International Parkway, , Jacksonville" ], "timestamp" : "2026-06-16T02:33:34.340", "fingerprint" : "6a6800f83256a8e0a5090148faa919d9852fedb7dc9115620784f3dc76115405", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896313", "externalId" : "896313", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jacksonville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.3262247,-81.6579179" } ], "locationText" : "Jacksonville, Florida, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "rawDescription" : "About Us Mercedes-Benz USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks. Mercedes-Benz USA VCA Junior Associate Consultant (JAC) Overview and Responsibilities Vehicle Compliance and Analysis (“VCA”) is responsible for vehicle compliance across the Mercedes-Benz USA portfolio of cars and light trucks. This includes, but is not limited to, government compliance reporting, emissions and safety certification, quality campaigns, VPC actions, and product analysis activities. Responsibilities: Support the VCA Safety and Emissions teams with the development, management and execution of the various governmental reporting requirements to ensure timely submission to National Highway Traffic Safety Administration (“NHTSA”) , Environmental Protection Agency (“EPA”) and California Air Resources Board (“CARB”). Assist the Safety team with Transportation Recall Enhancement, Accountability, and Documentation (“TREAD”) Act, assist in ad-hoc reports, and campaign launch activities. Help in the coordination, creation and dissemination of Recall and Service campaigns to affected parties and in the respective outreach activities. Assist the Emissions team with data collection and analysis to support compliance and reporting. The candidate will need to possess skills to assess and analyze large volumes of data to assist management to streamline processes and procedures. The candidate will also be responsible for the creation of training and presentation materials to effectively communicate ad-hoc topics to management for the safety and emission teams. Perform vehicle testing and assist with work instruction review and updates prior to campaign release. Candidate will be required to use data to analyze complex scenarios for campaign launch activities and be able to create a dashboard for field use. Required Qualifications: Undergrad - Rising juniors and seniors -*Preferred Data Analytics and Engineering Background Available from May 2026 - May 2027 Hybrid in-person schedule 3 days weekly, up to 28 hours maximum Available during core working hours of 10 AM - 3 PM Eastern Preferred Skillset: Excel (data preparation and analysis) PowerBI knowledge Power Automate Microsoft Office Time management skills EEO Statement Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law. Mercedes-Benz USA, LLC", "summaryDescription" : "Vehicle Compliance & Analysis Junior Associate Consultant (Intern) at Mercedes-Benz USA", "createdAt" : "2026-06-14T18:55:12.820", "lastUpdated" : "2026-06-16T02:33:34.340", "ingestTimestamp" : "2026-06-14T18:55:12.820", "mongoId" : "69fd04b64c40e2acd1ae614b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f73d", "title" : "Vehicle Compliance & Analysis Junior Associate Consultant (Intern)", "company" : "Mercedes-Benz USA", "industry" : "Consulting", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Jacksonville, adjusted for seniority and company size." }, "location" : "United States of America-Florida-Jacksonville", "locations" : [ "United States of America-Florida-Jacksonville", "13470 International Parkway, , Jacksonville" ], "timestamp" : "2026-06-16T01:21:02.510", "fingerprint" : "e5528caf4d76330487ce34f239a7beaa2276ba5e236c58dcd17639267a48a145", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896313", "externalId" : "896313", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jacksonville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.3262247,-81.6579179" } ], "locationText" : "Jacksonville, Florida, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us Mercedes-Benz USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks. Mercedes-Benz USA VCA Junior Associate Consultant (JAC) Overview and Responsibilities Vehicle Compliance and Analysis (“VCA”) is responsible for vehicle compliance across the Mercedes-Benz USA portfolio of cars and light trucks. This includes, but is not limited to, government compliance reporting, emissions and safety certification, quality campaigns, VPC actions, and product analysis activities. Responsibilities: Support the VCA Safety and Emissions teams with the development, management and execution of the various governmental reporting requirements to ensure timely submission to National Highway Traffic Safety Administration (“NHTSA”) , Environmental Protection Agency (“EPA”) and California Air Resources Board (“CARB”). Assist the Safety team with Transportation Recall Enhancement, Accountability, and Documentation (“TREAD”) Act, assist in ad-hoc reports, and campaign launch activities. Help in the coordination, creation and dissemination of Recall and Service campaigns to affected parties and in the respective outreach activities. Assist the Emissions team with data collection and analysis to support compliance and reporting. The candidate will need to possess skills to assess and analyze large volumes of data to assist management to streamline processes and procedures. The candidate will also be responsible for the creation of training and presentation materials to effectively communicate ad-hoc topics to management for the safety and emission teams. Perform vehicle testing and assist with work instruction review and updates prior to campaign release. Candidate will be required to use data to analyze complex scenarios for campaign launch activities and be able to create a dashboard for field use. Required Qualifications: Undergrad - Rising juniors and seniors -*Preferred Data Analytics and Engineering Background Available from May 2026 - May 2027 Hybrid in-person schedule 3 days weekly, up to 28 hours maximum Available during core working hours of 10 AM - 3 PM Eastern Preferred Skillset: Excel (data preparation and analysis) PowerBI knowledge Power Automate Microsoft Office Time management skills EEO Statement Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law. Mercedes-Benz USA, LLC", "summaryDescription" : "Vehicle Compliance & Analysis Junior Associate Consultant (Intern) at Mercedes-Benz USA", "createdAt" : "2026-06-14T18:52:11.016", "lastUpdated" : "2026-06-16T01:21:02.510", "ingestTimestamp" : "2026-06-14T18:52:11.016", "mongoId" : "6a191e7758b93c861e39f73d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 60000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a928374d8ee00a0691248", "title" : "Manufacturing Process Coordinator", "company" : "Hunter Douglas", "industry" : "Manufacturing", "salary" : { "min" : 20.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "CO", "locations" : [ "CO" ], "certifications" : [ "ISO auditor training" ], "timestamp" : "2026-06-14T21:40:29.202", "fingerprint" : "ea9de33f256a463ed66aefc4f088e4278524d7bfb4fd5113b304c44665812b43", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.hunterdouglas.com/division/hunterdouglas/job/7763998003?gh_jid=7763998003", "externalId" : "7763998003", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Colorado", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Colorado, United States", "technicalSkills" : "SAP, Excel, Google Docs", "professionalSkills" : [ "Process management", "Operational standards", "Lean principles", "Quality control", "Waste elimination", "Product development", "Work process development", "Employee certification" ], "hardSkillsList" : [ "Data collection", "Trend analysis", "Root cause analysis", "Process capability", "Yield expectations" ], "softSkillsList" : [ "Intelligent", "Creative", "Entrepreneurial" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Process capability", "level" : "intermediate" }, { "name" : "Yield expectations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intelligent" }, { "name" : "Creative" }, { "name" : "Entrepreneurial" } ], "majorSkills" : "Process coordination, Operational metrics, Continuous improvement, Vendor management", "majorSkillsList" : [ "Process coordination", "Operational metrics", "Continuous improvement", "Vendor management" ], "coreResponsibilities" : "Coordinate manufacturing processes, Ensure process capability and execution, Review daily reports on manufacturing yields, Assist management in collecting data, Analyze process trends, Analyze inefficient workflow, Identify opportunities for waste elimination, Update standardized work processes, Update documentation, Identify areas of concern with production equipment, Monitor training and compliance to ISO procedures, Oversee training in ISO procedures, Assist in development of new equipment, Assist in introduction of new work processes, Assist in introduction of new products, Conduct employee testing for certification, Make final determination on certification readiness, Monitor accumulated training hours, Keep informed of material availability, Keep informed of customer needs, Keep informed of quality control issues, Analyze trends in productivity, Analyze trends in quality, Analyze trends in safety, Capture root cause issues, Participate on DMAIC event teams, Participate on Rapid Response teams, Participate on Kaizen event teams, Facilitate implementation of action items", "teamCollaboration" : "Interacts with other functional groups; Assists other departments; Lends assistance to R&D; Lends assistance to Engineering", "projectManagementSkills" : [ "DMAIC", "Kaizen events" ], "domainKnowledge" : "Window coverings manufacturing; Architectural products manufacturing; Lean principles; ISO procedures", "domainList" : [ "window-coverings-manufacturing", "architectural-products-manufacturing", "lean-principles", "iso-procedures" ], "domainSpecificKnowledge" : [ "Window coverings manufacturing", "Architectural products manufacturing", "Lean principles", "ISO procedures" ], "toolProficiency" : [ "Kaizen", "SAP", "Excel", "Google Docs" ], "communicationSkills" : "Verbal testing; Written testing", "documentationSkills" : "Standardized work processes; Documentation", "continuousLearning" : "Internal development; Professional growth", "innovationCreativity" : "Development of new equipment; Development of new work processes; Development of new products", "problemSolvingSkills" : "Trouble shoot malfunctions; Root cause analysis", "specialRequirements" : "Constant alertness, Safe manner, Regular attendance, Predictable attendance, Push/pull pallet jack, Carry fabric bars", "outcomesObjectives" : "Ensure adequate process capability; Ensure adequate process execution; Meet yield expectations", "qualificationsBasic" : "High school diploma or equivalent, Basic knowledge of mechanical operation, Basic knowledge of work processes, Basic knowledge of computer software, Solid knowledge of adult learner training principles, Ability to analyze numerical reports", "qualificationsPreferred" : "Additional coursework in interaction management, Computer training in basic software packages, ISO auditor training", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours? Summary/Objective Responsible for the coordination of manufacturing processes for products to be produced in accordance with applicable quality and operational standards. Interacts on a daily basis with employees as well as individuals from other functional groups in order to ensure adequate process capability and execution is maintained for all existing and new products. .ESSENTIAL FUNCTIONS An employee in this position may be called upon to do any or all of the following essential functions. (These examples do not include all of the functions which the employee may be expected to perform.) Reviews all daily reports that list manufacturing yields of all production equipment operated on all shifts. Utilizes Kaizen, SAP, Excel, and Google Docs to assists management in collecting data and/or samples to analyze process trends, inefficient workflow, opportunities for waste elimination, etc… and updates standardized work processes and documentation, and in accordance with Lean principles. Identifies areas of concern whereby production equipment could be contributing to poor quality and/or the inability to meet yield expectations. Monitors and ensures the training and compliance to ISO procedures by overseeing training in ISO procedures among team members. Participates and lends assistance to other departments such as Research and Development and Engineering in the development and introduction of new equipment, work processes or products to manufacturing. Conducts written and/or verbal testing of employees for equipment or work process certification. Makes final determination on employee certification readiness. Utilizes specialized software program, KAIZEN, to monitor the number of accumulated hours of training on equipment or work processes prior to certification testing. Keeps informed of availability of materials, customer needs and quality control issues using proprietary computer software programs, visual inventory and daily summary reports issued by other departments. Utilizes Kaizen, SAP, Excel, and Google Docs to assists management in collecting data and/or samples to analyze trends in productivity, quality, safety, etc…in order to capture root cause issues. Maintains consistent participation on DMAIC, Rapid Response and Kaizen event teams as needed and assists in facilitating implementation of action items. OTHER FUNCTIONS Ability to work in a constant state of alertness and safe manner. Position requires regular and predictable attendance. Employees are held accountable for all duties of this job QUALIFICATIONS AND KSA’S FOR EMPLOYMENT An employee in this position, upon appointment, should have the equivalent of the following: Basic knowledge of the mechanical operation of all equipment within the business function to trouble shoot malfunctions with equipment. Basic knowledge of all work processes associated with production. Basic knowledge of computer software packages. Solid knowledge of principles of training adult learners. Ability to analyze, understand and interpret numerical reports detailing production yield Acceptable training and experience include a high school diploma or equivalent. Additional course work in interaction management would be beneficial. Computer training in basic software packages would also be beneficial. ISO auditor training would be helpful. PHYSICAL REQUIREMENTS Body Movement Frequently stands and walks for extended periods of time on concrete floor. Will occasionally push and pull a pallet jack loaded with glue buckets or rolls of fabric weighing approximately 1,000 pounds. Will occasionally bend/stoop at waist when loading or unloading fabric bars off of stacker equipment. Will occasionally climb up a four-foot step ladder to trouble shoot malfunctions with stacker equipment. Will occasionally twist and reach when assisting a Stacking Technician unloading a fabric bar off the stacker and carrying it to the oven. Back and Upper Body (lifting and carrying) Will occasionally assist a Stacking Technician in carrying and lifting fabric bars, weighing 50 pounds or more, on and off stacker equipment. Vision Constantly uses sight in performance of daily duties. Must have average or better color acuity Sense of Touch Frequently uses sense of touch in reaching for tools or using computer keyboard. Hearing Occasionally uses hearing to listen for warning signals on stacker equipment or noting equipment malfunctions by sounds emitted by the equipment. Work Environment Production environment with noise generated by equipment. Fumes from waste water area, isopropyl alcohol and glue. General dust from production equipment and fabrics. Slight mists from humidity chambers. What's in it for you? • Annual base salary range: hourly $20.00 to $22.50 • Bonus target range: 2.5% • Generous benefits package including medical, dental, vision, life, disability • A company culture that prioritizes internal development and professional growth • Time off with pay • 401(k) plan with a degree of employer matching • Paid parental leave • Wellness programs and product discounts #LI-PD1 #LI-office By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text “STOP” to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, https://www.hunterdouglas.com/privacy-policy or terms of use https://www.hunterdouglas.com/terms-of-use", "summaryDescription" : "Manufacturing Process Coordinator at Hunter Douglas. Skills: Process coordination, Operational metrics, Continuous improvement, Vendor management. Coordinate manufacturing processes. Ensure process capability and execution", "postedDate" : "2026-06-11T21:49:26.270", "createdAt" : "2026-06-11T21:49:26.270", "lastUpdated" : "2026-06-14T21:40:29.202", "ingestTimestamp" : "2026-06-11T21:49:26.270", "mongoId" : "6a2a928374d8ee00a0691248", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data collection", "Trend analysis", "Root cause analysis", "Process capability", "Yield expectations", "Intelligent", "Creative", "Entrepreneurial", "Process coordination", "Operational metrics", "Continuous improvement", "Vendor management", "Process management", "Operational standards", "Lean principles", "Quality control", "Waste elimination", "Product development", "Work process development", "Employee certification", "DMAIC", "Kaizen events", "Window coverings manufacturing", "Architectural products manufacturing", "ISO procedures", "ISO auditor training", "Kaizen", "SAP", "Excel", "Google Docs" ], "skillCount" : 30, "jobCategory" : "other", "jobSubcategory" : "hd-supply-chain---indirect", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing" } ], "status" : 200, "message" : "intern manufacturing technician wet process and data analysis jobs", "metadata" : { "title" : "intern manufacturing technician wet process and data analysis" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 81897, "totalPages" : 1638, "hasNext" : true, "hasPrevious" : false } }

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