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Credence · 1 day ago

Data Engineer

McLean, VA

Full-time

Onsite

Mid Level

3+ years exp

Credence is a company focused on innovation in AI, cloud, cyber, and modernization solutions. They are seeking a Mid-Level AI Data Engineer to build and deploy data-driven solutions within their AI and Automation practice, collaborating across teams to support federal missions.

GovTechInformation TechnologySoftware

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage

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

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

Work alongside data engineers, software engineers, and data scientists to develop operational agentic AI systems

Help automate model deployment workflows using Infrastructure as Code (IaC), 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, support reproducible development

Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews

Qualification

Data Pipeline ProcessesCloud PlatformsGenerative AIAI APIsPythonCI/CD PipelinesIaC ToolsDatabase ManagementCuriosity in AICommunication

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 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

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

Free Food & Snacks

Wellness Resources

Company

Credence

Credence provides innovative technology, health, engineering, and management solutions to support mission-critical programs for Federal government customers.

Founded in 2005

Vienna, Virginia, USA

1001-5000 employees