Note: The job is a remote job and is open to candidates in USA. Leidos is hiring a Data Engineer/Architect to design and implement a data foundation supporting generative AI applications, including retrieval-augmented generation, and business analytics. The role combines hands-on development and architectural work, including defining tools, schemas, and ontologies and documenting designs for engineering teams and management.
Responsibilities
- Design and implementation of big data systems, ETL pipelines and Data Lakes / Lakehouse / Meshes
- Design and implementation of schema and ontologies
- Design and implementation of data foundation to support generative AI applications, including retrieval-augmented generation (RAG), and business analytics
- Design and implementation of row/cell level data access control
- Hands-on software development using Python and/or JavaScript to support data integration and application functionality
- Documentation of data definitions and designs
Skills
- Bachelor's degree with 8+ or 12+ years of experience in a Science, Engineering, or Technology field or a Master's degree with 6+ or 10+ years of experience in a Science, Engineering, or Technology field. Additional experience may be considered in lieu of a degree
- US citizenship; Ability to obtain a Top Secret security clearance in DISS
- 5+ years of experience with design and development of systems to analyze structured and unstructured large data sets from disparate sources
- 5+ years of experience with principals associated with AI applications, including retrieval-augmented generation (RAG)
- Ability to develop tools, algorithms and queries to improve business performance
- Ability to develop new technical solutions, including hands-on Python or JavaScript development, to achieve project goals
- Ability to develop intelligent systems that analyze data, learn from patterns, predict outcomes, and make informed decisions autonomously
- Strong verbal and written communication skills and ability to communicate data engineering and architectural concepts to non-technical audience
- Experience working directly with product owners
- Experience integrating and/or operating: Dagster, PostgresSQL, Alembic, pgvector
- Experience with digital Engineering (SysML)
- Experience with generative AI applications, including RAG, embeddings, and vector search
- Experience with operational support to data foundation and devOps
- Familiar with Medallion style architecture
- Current Secret clearance in DISS
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
- Remote work arrangement
Company Overview