Work Description: 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 requirements
- 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:
- Experience with data modeling and ETL development (data processing automation)
- Experience with 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
- Bachelor’s degree or equivalent experience in a relevant field
- Minimum of 10 years’ experience
Desired:
- Experience with Apache NiFi, Machine Learning (ML), Interactive Data Language (IDL)
- Experience with Sponsor’s OSN
Job Category: Engineering
Job Type: Full Time
Job Location: Reston
