Pay
In line with similar jobs
$108K–$195K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer/Architect
Remote, US
Live, first seen by us 1 day ago- Pay
$107,900–195,050/yearAnnual period assumed — pay source
Pay Range: Pay Range $107,900.00 - $195,050.00 The 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.
Read the full posting- Work setting
Remote — work setting source
Data Engineer/Architect Location: Remote Clearance Required: US Citizenship; Ability to obtain Top Secret clearance
Listed location: Remote, US
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
Clearance Required: US Citizenship
What you’ll work on
Full postingDesign big data systems, ETL pipelines, and data lakes, lakehouses, or meshes
Design schemas and ontologies for the data foundation
Build the data foundation for generative AI, RAG, and business analytics
Implement row and cell level data access control
Document data definitions and designs
From the employer’s posting
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.
Documentation of data definitions and designs.
What you’ll bring
All qualificationsCore experience
- 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.
- 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.
Preferred experience
- 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.
Qualification wording
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.
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.
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.
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 4, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 5, 2026
- Reposted
- once since Oct 21, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
At Leidos, jobs usually come down by about day 28.
From 11,172 similar postings that came down, and 267 of Leidos’s. Coming down is not always a hire.
Leidos is hiring
43 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is steady
- Takes jobs down at a usual pace
- 21% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- JavaScript
- Python
- Dagster
Where the posting names them
- 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.
- 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.
Preferred Qualifications - Experience integrating and/or operating: Dagster, PostgresSQL, Alembic, pgvector - Experience with digital Engineering (SysML).
Your next step
Complete your application on leidos.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has Leidos posted this job before?
Yes. We’ve followed one other Data Engineer/Architect job there since October 2026. It came down after 1 day.
About Leidos
- People
- About 37,274 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as LDOS.
- H-1B visas
- 22 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Range: Pay Range $107,900.00 - $195,050.00 The 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.
- Location & working pattern
Remote, US
Data Engineer/Architect Location: Remote Clearance Required: US Citizenship; Ability to obtain Top Secret clearance
- Work authorization
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.
More source context
- 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.