- Location
- McLean, Virginia, United States · published · Boston, Massachusetts, United States · Warner Robins, Georgia, United States · Wright-Patterson Air Force Base, Ohio, United States
- Type
- Full-time
- Department
- IT
- Seniority
- Senior
- Source
- Workable
Description
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 Senior 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 advanced AI and data engineering expertise to design, build, and deploy data-driven solutions. 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.