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
Skills Required
- 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 data pipeline processes.
- Experience with enterprise data and storage systems (OpenSearch/Elastic Search, Kafka, Bedrock, Glue, Databricks, Snowflake, AWS S3, RDS, EBS, Glacier).
- Experience with vector databases and embeddings (e.g., FAISS, PGVector, OpenSearch/Elasticsearch, Hugging Face with Pinecone, Bedrock Knowledge Base).
- Experience in generative AI and working with LLMs, tool calls, and agents.
- Understanding of leading AI APIs (OpenAI, Anthropic, Gemini, Bedrock, Vertex) and RAG search.
- Experience with SQL and NoSQL systems for modeling, querying, and loading large-scale datasets.
- 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.
- Python proficiency and familiarity with libraries/frameworks (PySpark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
- Experience with IaC tools (Terraform, Open Tofu, AWS CDK, CloudFormation).
- Experience with agentic frameworks (Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, AgentCore).
- Exposure to adjacent skillsets such as data science, UI/UX, cloud engineering, and platform engineering.
- Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.
Credence Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Credence and has not been reviewed or approved by Credence.
-
Fair & Transparent Compensation — Pay is considered competitive or better than average across many roles, with multiple examples describing excellent pay and competitive salaries. Additional cash elements such as bonuses appear alongside base pay.
-
Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage, supported by HSAs/FSAs and a TRICARE supplement. Employer-paid life and disability coverage further strengthen the protection package.
-
Leave & Time Off Breadth — Time off includes flexible PTO and a broad holiday schedule aligned to federal holidays. Additional leave types such as military and bereavement leave are available.
Credence Insights
What We Do
Credence provides innovative technology, health, international development, engineering, and management solutions to support mission-critical programs for Federal government customers. We are one of the nation’s largest privately held government contractors. Our ability to perform exceptionally to implement new solutions, efficiencies, and savings across 220 U.S. Government programs is due to our obsession with exceeding customer expectations and our emphasis on employee wellbeing—best exemplified by our corporate philosophy: “One Measure of Success. Yours.” WHY WORK WITH CREDENCE? We are consistently rated as a Top Workplace and are proud to be one of the fastest growing privately held firms in the U.S. over the last decade. Credence treats each customer, teaming partner, and employee as a trusted partner whom we serve. We ensure successful outcomes by focusing on the measure of success that we consider to be most important—Yours. WHY WORK FOR CREDENCE? We are a diverse, enthusiastic team of professionals who are dedicated to providing exceptional service to our customers. Our culture is focused on employee empowerment, recognition, and reward, and each person is encouraged to take initiative and strive to reach their greatest potential. HOW CREDENCE GIVES BACK: We believe in giving back to the communities in which we live and work through corporate charitable events, support for employee volunteering, and a 100% corporate match for employee charitable giving.
