Data Engineer with Security Clearance

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. We've 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, dive into important world-changing Federal challenges. Position Summary 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'll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below * 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 layers) to ensure data quality, lineage, and accessibility.
* Database Management & Performance 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.
* 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. 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.
* 3-7 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. Preferred * 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. Why This Role Matters * Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
* Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices.
* Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $115,000 - $155,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. 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