Data Engineer/Architect
At a glance
Mid-level Data Engineering role at Leidos. Remote, United States · full-time · $107,900–$195,050 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build big-data systems, ETL pipelines, and lake, lakehouse, or mesh architectures
- Create schemas and ontologies, then document the designs for engineers and management
- Shape data foundations for RAG applications and business analytics, including row- and cell-level access controls
- Write Python or JavaScript for data integration and application features
What you bring
- A science, engineering, or technology degree with the stated experience level, or equivalent experience in place of a degree
- At least five years building systems that analyze large structured and unstructured data from different sources
- At least five years applying AI concepts such as RAG, plus hands-on Python or JavaScript development
- U.S. citizenship and the ability to qualify for a Top Secret clearance
Who this fits
This remote U.S. role suits a hands-on data engineer who can design a data foundation and explain its architecture to nontechnical audiences. You should also have experience working directly with product owners. A current Secret clearance is preferred.
From the employer
Data Engineer/Architect
Location: Remote
Clearance Required: US Citizenship; Ability to obtain Top Secret clearance
Leidos has an exciting opportunity for an experienced Data Engineer/Architect to support the design of a new data foundation. This foundation will support generative AI applications, including retrieval-augmented generation (RAG), and enable analysis of diverse data sets. Looking for an engineer with strong architectural and hands-on development skills who can define the foundation (tools, schemas, and ontologies) and document that definition so that software engineers can implement, and management can understand the capabilities that the foundation can support.
This role is open to candidates across a range of experience levels. The scope of the position and corresponding compensation will be aligned with the selected candidate’s background and expertise.
Primary 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.
Basic Qualifications
- 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.
Preferred Qualifications
- 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.
Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.
AMSOPP1
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.
Original Posting:
October 21, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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