Data Engineer/Architect

Leidos

2d • $107,900 - $195,050 • Remote

About The Position

Leidos is hiring an experienced Data Engineer/Architect to support the design of a new data foundation for generative AI applications, including retrieval-augmented generation (RAG), and analysis of diverse data sets. The role combines architectural definition and hands-on development: the successful candidate will help define the foundation’s tools, schemas, and ontologies, and document them so software engineers can implement the design and management can understand the capabilities it supports. The position is open to candidates across a range of experience levels, with scope and compensation aligned to the selected candidate’s background and expertise. The role is remote and requires U.S. citizenship and the ability to obtain a Top Secret clearance.

Requirements

• 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 such a field; additional experience may be considered in lieu of a degree.
• U.S. citizenship and ability to obtain a Top Secret security clearance in DISS.
• 5+ years of experience designing and developing systems to analyze structured and unstructured large data sets from disparate sources.
• 5+ years of experience with principles associated with AI applications, including 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, including the ability to communicate data engineering and architectural concepts to non-technical audiences.
• Experience working directly with product owners.

Nice To Haves

• Experience integrating and/or operating Dagster, PostgreSQL, Alembic, or pgvector.
• Experience with digital engineering (SysML).
• Experience with generative AI applications, including RAG, embeddings, and vector search.
• Experience providing operational support to a data foundation and DevOps.
• Familiarity with Medallion-style architecture.
• Current Secret clearance in DISS.

Responsibilities

• Design and implement big data systems, ETL pipelines, and data lakes, lakehouses, or meshes.
• Design and implement schemas and ontologies.
• Design and implement a data foundation that supports generative AI applications, including RAG, and business analytics.
• Design and implement row- and cell-level data access control.
• Develop software hands-on using Python and/or JavaScript to support data integration and application functionality.
• Document data definitions and designs.

What This Job Offers

• Job Type: Full-time