Data Engineer, Sr.

About The Company

Join a team where innovation meets mission. Our company specializes in delivering cutting-edge AI, cloud, cyber, and modernization solutions that save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With over 1,700 team members, including more than 1,500 AI and data experts, and holding over 100 prime contracts, we deliver at scale and with purpose. Recognized as a Top Workplace by the Washington Post for six consecutive years and named to the Inc. 5000 Fastest Growing Private Companies list 13 of the past 14 years, we foster a welcoming environment for professionals eager to grow and contribute to positive change. We encourage employees to expand their boundaries and engage with important, world-changing federal challenges.

About The Role

We are seeking a Senior AI Data Engineer to join our growing AI and Automation practice. In this role, you will serve as a technical anchor, applying your advanced AI and data engineering expertise to design, build, and deploy data-driven solutions that drive agentic AI development lifecycles. You will collaborate closely with engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. This position offers the opportunity to work on transformative projects that support defense, health, and other government agencies.

Qualifications

• U.S. Citizenship with eligibility for DoD Secret clearance
• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field
• 7+ years of hands-on experience delivering Data, AI, and ML solutions
• Strong understanding of ETL, ELT, and data pipeline processes
• Experience with enterprise data and storage systems such as OpenSearch/Elastic Search, Kafka, Bedrock, Glue, Databricks, Snowflake, AWS S3, RDS, EBS, or Glacier
• Knowledge of vector databases, embeddings, and associated data structures and APIs (e.g., FAISS, PGVector, Hugging Face, Pinecone, Bedrock Knowledge Base)
• Experience with generative AI and working with Large Language Models (LLMs), including adding tool calls and agents
• Familiarity with leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for LLMs and Retrieval-Augmented Generation (RAG) search
• Experience with CI/CD pipelines (GitLab, GitHub, Jenkins)
• Proficiency with development tools such as VS Code and AI extensions like Cline and Claude Code
• Strong communication skills and a client-oriented mindset
  
  

Preferred Qualifications

• Curiosity and experimentation with the latest AI innovations with a focus on mission impact
• Python proficiency and familiarity with libraries/frameworks such as PySpark, Pandas, uvicorn, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, and Unstructured
• Experience with Infrastructure as Code (IaC) tools such as Terraform, OpenTofu, AWS CDK, or CloudFormation
• Experience with agentic AI frameworks like Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore
• Exposure to adjacent skillsets including data science, UI/UX, cloud engineering, and platform engineering
• Knowledge of federal cybersecurity standards, Risk Management Framework (RMF), FedRAMP, or other regulatory frameworks
  
  

Responsibilities

• Design, build, and optimize data pipelines to prepare, clean, and structure data for generative AI and LLM applications
• Manage and organize large datasets across cloud platforms (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 SQL and NoSQL databases to model, query, and maintain large-scale datasets
• Monitor, tune, and maintain high-performance data stores supporting analytics and reporting
• Collaborate with data engineers, software engineers, and data scientists to develop operational agentic AI systems
• Automate model deployment workflows using Infrastructure as Code, 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 to support reproducible development
• Stay current on AI/ML trends and tools; actively participate in mentorship and technical design reviews
  
  

Benefits

• Comprehensive Health Care Plan including Medical, Dental, and Vision coverage
• Retirement Plans such as 401(k) and IRA options
• Life Insurance including Basic, Voluntary, and Accidental Death & Dismemberment (AD&D)
• Paid Time Off encompassing Vacation, Sick Leave, and Public Holidays
  
  

Equal Opportunity

Credence is an equal opportunity employer committed to recruiting, hiring, training, and promoting qualified individuals of all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status.