Data Engineer Jobs

About The Position

Requirements

• U.S. Citizenship with eligibility for DoD Secret clearance.
• Bachelor’s or Master’s in Computer Science, Data/AI/ML, or a related field.
• 7+ years of hands-on experience delivering Data/AI/ML solutions.
• Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier
• Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base)
• Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A).
• Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search.
• Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins)
• Experience with VS Code and AI extensions such as Cline and Claude Code.
• Strong communication skills and client-oriented mindset.

Nice To Haves

• Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
• Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
• Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.
• Experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore.
• Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.
• Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

Responsibilities

• Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage.
• Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies. Implement medallion architecture (Bronze/Silver/Gold layers) to ensure data quality, lineage, and accessibility.
• Work with both SQL and NoSQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting.
• Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems.
• Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
• Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.
• Write clean, well-documented code following industry and federal guidelines, support reproducible development.
• Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Wellness Resources