Data Engineer/Architect

Big Data Equities Management Algorithms Data Lakes PostgreSQL Ontologies Market Data Data Access Communication Data Integration Data Engineering Secret Clearance Intelligent Systems Software Engineering Software Development Top Secret Clearance Systems Modeling Language Extract Transform Load (ETL) Python (Programming Language) Alembic (Data Migration Tool) Retrieval Augmented Generation JavaScript (Programming Language) Generative Artificial Intelligence Applications Of Artificial Intelligence, * 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.

• 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.

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .