Data Engineer

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. Credence has been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc.

5000 Fastest Growing Private Companies 13 of the past 14 years.

Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries and engage with world-changing Federal challenges.

Credence has an immediate need for a Mid-Level AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You will apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you will drive agentic AI development life cycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions.

Responsibilities

• Data Integrations for Generative AI & LLM Usage:
  Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage.
• Data Lake & Warehouse Engineering:
  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) to ensure data quality, lineage, and accessibility.
• Database Management & Performance:
  Work with both SQL and No
  
  SQL systems to model, query, and load large-scale datasets. Monitor, tune, and maintain high-performance data stores supporting analytics and reporting.
• Collaborative Engineering:
  Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems.
• Cloud Enablement:
  Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
• Production Monitoring & Optimization:
  Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.
• Technical Rigor & Documentation:
  Write clean, well-documented code following industry and federal guidelines, support reproducible development.
• Professional Growth:
  Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.

• U.S. Citizenship with eligibility for DoD Secret clearance.
• Bachelor's or Master's in Computer Science, Data/AI/ML, or a related field.
• 3-7 years of hands-on experience delivering Data/AI/ML solutions.
• Strong understanding of ETL, ELT, and other data pipeline processes, and experience with Enterprise Data and Storage Systems (e.g., Open Search/Elastic Search, Kafka, Bedrock, Glue, Data Bricks, Snowflake, AWS S3, RDS, EBS, Glacier).
• Experience with vector databases, embeddings, and related data structures and services (e.g., FAISS, PGVector, Open Search/Elasticsearch, Hugging Face with Pinecone, Bedrock Knowledge Base).
• Experience in generative AI, working with LLMs, adding tool calls and agents.
• Understanding of leading AI APIs (OpenAI, Anthropic, Gemini, Bedrock, Vertex) for use with LLMs and RAG search.
• Familiarity with CI/CD pipelines (Git Lab/Git Hub/Jenkins).
• Experience with VS Code and AI extensions.
• Strong communication skills and client-oriented mindset.

• Curious and experimental about the latest AI innovations with a focus on delivering mission impact.
• Python proficiency and familiarity with libraries/frameworks (PySpark, Pandas, Pydantic, FastAPI, Lang Chain, Lang Graph, Unstructured).
• Experience with IaC tools (Terraform, AWS CDK, Cloud Formation, etc.).
• Experience with agentic frameworks (Agent2
  
  Agent Protocol, AWS Bedrock Agents, CrewAI, Strands, Agent Core).
• Exposure to related skills (data science, UI/UX, cloud engineering, platform engineering).
• Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

• Real-World Impact - Your work will support defense and health agencies where AI solutions contribute to national security and public well-being.
• Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor others in AI best practices.
• Culture of Empowerment - Be part of a team that values innovation, trust, collaboration, and mission success.

• 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
• Free Food & Snacks
• Wellness Resources