Edgesource Corporation
Tech / AI / Software
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Edgesource Corporation. Skills: data engineering, large-scale enterprise level data systems, cloud-based architecture platform, integration of large data, protection of large data, migration of large data. Design, develop, and maintain large-scale enterprise-level data systems using cloud-based architectures. Develop data integration solutions for a variety of data sources and formats”
Industry & Context.
Excellent problem-solving skills
Active TS/SCI clearance
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Data Science, Engineering or related field, Active TS/SCI clearance, Minimum of 5 years of experience in data engineering with a focus on large-scale enterprise level data systems, Proficient in cloud-based data technologies, such as AWS, Azure, or Google Cloud Platform, Demonstrated expertise in designing and building large scale enterprise-level data systems, Proven ability to integrate data from multiple sources and formats, understanding of data protection and security best practices, Experience with data modeling, ETL processes, and data quality assurance, Excellent problem-solving skills and ability to work independently and as part of a team
Nice to Have
Experience working in cloud environments (e.g. , AWS GovCloud, Azure Government), Experience implementing data quality checks, monitoring pipelines, and optimizing performance for large-scale datasets
What You'll Do.
and maintain large-scale enterprise-level data systems using cloud-based architectures
Develop data integration solutions for a variety of data sources and formats
Ensure the integration of data from multiple sources
including internal and external systems
and third-party tools
Develop and implement data protection strategies
including data encryption
and disaster recovery plans
Manage and execute data migration projects
ensuring data integrity and accuracy during the migration process
Perform data profiling
and data transformation tasks to ensure data quality and consistency
Develop and maintain documentation related to data architecture and data flows
Implement best practices for data management
including data modeling and data quality assurance
Continuously improve the efficiency
and reliability of data systems and processes
Stay up-to-date with industry trends and emerging technologies related to data engineering
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to define and execute data-related projects and initiatives
Process & Methodology
Manage and execute data migration projects
Full Job Description
COMPANY OVERVIEW For over 25 years, Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), Department of Homeland Security (DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other federal, state, and commercial clients locally, nationally, and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at Edgesource is an opportunity to do meaningful, interesting, and impactful work. POSITION OVERVIEW We are seeking a highly skilled and experienced data engineer to join our team. The ideal candidate will have experience working with large-scale enterprise level data systems on cloud-based architecture platform, to include at a minimum integration of large data, protection of large data, and migration of large data. JOB DUTIES - Design, develop, and maintain large-scale enterprise-level data systems using cloud-based architectures - Develop data integration solutions for a variety of data sources and formats - Ensure the integration of data from multiple sources, including internal and external systems, APIs, and third-party tools - Develop and implement data protection strategies, including data encryption, access controls, and disaster recovery plans - · Manage and execute data migration projects, ensuring data integrity and accuracy during the migration process - Collaborate with cross-functional teams to define and execute data-related projects and initiatives - Perform data profiling, data cleansing, and data transformation tasks to ensure data quality and consistency - Develop and maintain documentation related to data architecture and data flows - · Implement best practices for data management, including data modeling and data quali
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