Sr. Data Engineer I (6436)
About The Position
As Sr. Data Engineer I, you’ll support a high-visibility, enterprise AI-enabled financial compliance initiative for the Department of War. This mission-critical program modernizes financial system compliance and audit workflows across 180+ DoW systems. You will engineer the data backbone powering AI-assisted validation, semantic search, and enterprise-scale governance. This is a remote role with preference for candidates local to the DMV area who can attend in-person meetings as required. We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
Requirements
- Active Secret clearance required
- Bachelor’s degree in Computer Science, Engineering, or related field
- Minimum 5 years of data engineering professional experience
- Experience building and maintaining RAG pipelines including document ingestion, chunking, embedding, vector storage, and semantic search
- Strong Python proficiency with disciplined typing, functional programming patterns, and async/concurrent execution for data-intensive workloads
- Hands-on ETL experience across Excel, XML, YAML, Markdown, and relational databases such as PostgreSQL using SQLAlchemy and schema migrations
- Familiarity with LLM integration patterns including prompt engineering, structured response parsing, caching strategies, and evaluation frameworks
Nice To Haves
- Experience supporting DoD environments preferred
Responsibilities
- Design and maintain scalable data pipelines supporting AI-enabled compliance workflows
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for large-scale document and financial datasets
- Engineer ingestion pipelines across structured and unstructured data sources
- Integrate relational databases and enterprise data systems into secure, production-grade AI architectures
- Collaborate with AI/ML engineers, DevSecOps, cybersecurity specialists, financial SMEs, and UX teams within a regulated DoW environment
Benefits
- Health, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off (PTO) and holidays
- Parental Leave and dependent care
- Flexible work arrangements
- Professional development opportunities
- Employee assistance and wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
