Niagara
EnterpriseDataFoundation&IntelligentAutomationEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Enterprise Data Foundation & Intelligent Automation Engineer II at Niagara. Skills: data pipelines, automation solutions, data models, SQL. Develop and maintain data pipelines, models, automation solutions. Implement data quality frameworks, data governance best practices”
What You'll Achieve.
improving data maturity; supporting data-driven decision-making; ensure reliable and trusted data assets; enhance business intelligence and operational efficiency; support scalable and optimized enterprise data solutions; improve efficiency across the analytics data value chain; prioritizing long run impact; drive continuous improvement; achieve organizational success
Industry & Context.
problem-solving skills with the ability to simplify technical concepts for broader organizational understanding; Demonstrates ability to think analytically and synthesize complex information; Solve data engineering challenges
Los Angeles County applicants only
What They're Looking For.
Must Have
2 years of experience in technology consulting, data analytics, or related fields, 2 years of experience supporting operations or strategy functions, Bachelor's Degree in Supply Chain/Information Technologyusiness Analytics/Systems Engineering/Data Science or other related field, ELT, SQL, Python, R, data warehouses, big data solutions, cloud computing services for data and analytics solutions, relational databases, NoSQL databases, cloud-based databases, data governance, dimensional modeling, structured/unstructured data management, agile methodologies
Nice to Have
4 years of experience in technology consulting, data analytics, or related fields, 4 years of experience in operations or strategy functions, 2 years of experience managing projects, Master's Degree in Supply Chain/Information Technologyusiness Analytics/Systems Engineering/Data Science or other related field, APICS CPIM/CSCP, PMP PMI
What You'll Do.
Develop and maintain data pipelines
Implement data quality frameworks
data governance best practices
Solve data engineering challenges
Build reusable data products
Collaborate with data engineers
machine learning engineers
Contribute to AI-first initiatives
Robotic Process Automation
Partner with stakeholders to support automation
Research and evaluate emerging data technologies
Promote culture of continuous learning
How You'll Work.
Team & Collaboration
Collaborate with data engineers, machine learning engineers, and solution architects; Partner with key stakeholders; Works effectively with depts, vendors, and customers; Identifies opportunities for collaboration
Communication Scope
simplify technical concepts for broader organizational understanding; Leads/facilitates discussions to get positive outcomes for the customer; Communicates a clear vision
Process & Methodology
managing projects, Provides strategic input and oversight to departmental projects, Skilled in reducing costs and managing timelines, Leads/facilitates discussions, Makes strategic and sustainable data driven decisions, Creates, monitors, and responds to departmental performance metrics, Communicates a clear vision, organizes resources effectively, and adjusts the strategy as needed when managing change
Full Job Description
At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water. Consider applying here, if you want to: * Work in an entrepreneurial and dynamic environment with a chance to make an impact. * Develop lasting relationships with great people. * Have the opportunity to build a satisfying career. We offer competitive compensation and benefits packages for our Team Members. Enterprise Data Foundation & Intelligent Automation Engineer II The Enterprise Data Foundation & Intelligent Automation Engineer II is responsible for developing, maintaining, and optimizing analytical data models, data pipelines, and automation solutions. This role contributes to strengthening the organization's data foundation, improving data maturity, and supporting data-driven decision-making across the enterprise. **_Essential Functions_** * Develop and maintain high-quality data pipelines, models, and automation solutions in alignment with Analytics Modeling ELT principles. * Implement data quality frameworks and data governance best practices to ensure reliable and trusted data assets. * Solve data engineering challenges to enhance business intelligence and operational efficiency. * Build reusable data products to support product managers, data scientists, and business teams in decision-making processes. * Collaborate with data engineers, machine learning engineers, and solution architects to support scalable and optimized enterprise data solutions. * Contribute to AI-first initiatives and Robotic Process Automation (RPA) to improve efficiency across the analytics data value chain. * Partner with key stakeholders to support automation and optimization of business processes through Business Process Automation (BPA). * Research and evaluate emerging data technologies and automation tools to improve data engineering efficiency. * Promote a culture of continuous learning, innovation, and collaboratio
Applying for this Enterprise Data Foundation & Intelligent Automation Engineer II role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Niagara?
Real rants from real employees. Read before you apply.