Data Engineer/Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-11-04). Last seen at its source 6h ago.
We have tracked this listing since 4 Nov 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 6 hours ago.
Is it remote?
Remote, US
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$107.9k–195.1k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 1d ago · last seen 6h ago
The listing
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.
- U.S. citizenship; 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, including Extract, Transform, Load (ETL) processes.
- 5+ years of experience with principles associated with AI applications, including retrieval-augmented generation (RAG), prompt and context engineering, and AI workflow orchestration and design.
- Experience with AI agent configuration, management, and integration into automated workflows.
- Ability to develop tools, algorithms, and queries to improve business performance.
- Ability to develop new technical solutions, including hands-on Python or JavaScript development and Python-based services, 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, with the ability to communicate data engineering and architectural concepts to non-technical audiences.
- Experience working directly with product owners, including previous experience in product ownership or product architecture.
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:
November 4, 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.