Data Engineer - active TS/SCI (2)

The Data Engineer will support the Sponsor's organization with leveraging best practices to implement means to efficiently create, organize, process, store, and utilize data collected from multiple sources. Responsibilities include, but are not limited to:

• Provide technical expertise in the use of various data applications, tools, and services
• Evaluate and recommend available data management tools, services, and products to support validated user and/or system requirements
• Refining (and potentially re-defining) existing ETL (extract, transform, load) processes
• Define file organization, indexing methods, and security procedures for specific user applications
• Plan and coordinate security measures-data integrity, backup systems, and database security

Qualifications:

• Must possess and be able to maintain an active TS/SCI with Full Scope Poly.
• Bachelor's degree or equivalent experience in a relevant field
• Minimum of 10 years' experience
• Experience with data modeling and ETL development (data processing automation)
• Experience with Apache NiFi, Java, Python
• Experience with data flow (health & status monitoring and metrics)
• Experience with Amazon Web Services (AWS) and AWS tool suite that optimizes the managing of data flow
• Able to implement solutions and critical thinking using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
• Experience with successful full life-cycle software development projects
• Demonstrated knowledge in enterprise data strategy, data governance practices, data stewardship principles, data architecture principles, data standards, and metadata management best practices
• Experience with Machine Learning (ML), Interactive Data Language (IDL), and Sponsor's OSN a plus
• BS 10-12, MS 8-10, PhD 5-7