# Data Engineer

> Credence · McLean, United States · Full-time · Posted 2026-08-03

**Salary:** USD 115,000–155,000

**Workplace:** on_site

**Department:** Horizontal

## 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 **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

## Apply

[Apply at Credence](https://apply.workable.com/credence/j/6FB3AB654C/apply)

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