Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
AI Data Engineer
Fort Belvoir, VA, United States
Actively hiring, first seen by us 7 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
- Not stated
Before you apply
- Work authorization
- Citizens only
Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly
What you’ll work on
Full postingDesign and implement scalable data pipelines for AI and machine learning workloads
Translate business requirements into logical data models and data flows
Develop and maintain data architectures for quality, availability and security
Optimize data workflows for real-time analytics and decision-making
Support deployment and integration of AI/ML solutions into operations
From the employer’s posting
Design and implement scalable data pipelines for AI and machine learning workloads.
Translate business requirements into logical data models to support entity relationships and data flows.
Develop and maintain data architectures to ensure data quality, availability, and security.
Optimize data workflows for real-time analytics and decision-making.
Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
- Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
- Strong knowledge of data pipeline design, ETL processes, and database management.
- Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
- Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
- Familiarity with data governance, security practices, and compliance standards.
Qualification wording
5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
Strong knowledge of data pipeline design, ETL processes, and database management.
Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
Familiarity with data governance, security practices, and compliance standards.
Education & alternatives
Required Education: - Bachelors degree and five (5) years or more related experience; Masters and three (3) years or more experience; four (4) years of experience considered in lieu of degree. Qualifications:
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20267 days ago
- Recorded sightings
- 10
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 7
Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
Science Applications Intl is hiring
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 4% 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.
- Python
- SQL
- TypeScript
Where the posting names them
- Strong knowledge of data pipeline design, ETL processes, and database management. - Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development. - Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
Your next step
Complete your application on eihu.fa.us8.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
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
SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.
The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:
- Translate business requirements into logical data models to support entity relationships and data flows.
- Design and implement scalable data pipelines for AI and machine learning workloads.
- Develop and maintain data architectures to ensure data quality, availability, and security.
- Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
- Optimize data workflows for real-time analytics and decision-making.
- Ensure adherence to data governance policies and security protocols.
- Stay current on data engineering, AI, and machine learning advancements.
- Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
- Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
- Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
- Contribute to the successful delivery of programs and projects.
Required Education:
- Bachelors degree and five (5) years or more related experience; Masters and three (3) years or more experience; four (4) years of experience considered in lieu of degree.
Qualifications:
- 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
- Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
- Strong knowledge of data pipeline design, ETL processes, and database management.
- Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
- Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
- Familiarity with data governance, security practices, and compliance standards.
Clearance:
- Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Fort Belvoir, VA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.