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Data Engineer

Summary

Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.

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

What this application asks

workable

First name, Last name, Email, Headline, Please list your full legal first and last name (e.g., John L. Smith II), Please provide your preferred first name, Phone, By providing a phone number and submitting this form you consent to receive SMS text messages from Credence LLC in accordance with our SMS Privacy Policy (https://credence-llc.com/careers/sms-privacy/) Message and data rates may apply. Message frequency may vary. Reply No, to STOP and opt out., Address, Photo, Education, Experience, List any work related certifications or licenses you currently possess, Please comment on how your prior education and experiences qualify you for the type of employment you are seeking., Summary, Resume, Please indicate which active clearances you have, If you have a security clearance not listed, please fill in., Cover letter, Type of work desired, What is your annual salary expectation? (Ranges are welcomed- non-answers may delay your consideration), What date are you available to join Credence as a new hire?, Are you legally authorized to work in the U.S. as a U.S. citizen or Fully Naturalized U.S. Citizen?
, Do you currently or will you in the future, require an immigration sponsorship and/or a host for a work visa authorization (e.g., F1 or H-1B)?  (if hired, verification will be required consistent with federal law.)
, Are you at least 18 years old?  (if no, you may be required to provide authorization to work)
, How did you hear about us? Was it a job board or an employee? Do tell...., Have you ever worked for Credence before?
If yes, what year and in what role?, Credence honors our Service Members and wonder if you are a Veteran or have Veteran status?, Credence honors our Service Members and their spouses, have you ever been a Military Spouse?, Do you have any relatives employed by this organization?, I have disclosed all information that is relevant and should be considered applicable to my candidacy for employment. 

I understand, where permissible under applicable state and local law, I may be subject to a pre-employment drug test after receiving a conditional offer of employment, and must receive a negative result for illegal drug use before being permitted to commence work with Company. I understand, where permissible under applicable state and local law, I may be subject to a pre-employment medical examination after receiving a conditional offer of employment, and must meet the qualifications for the position, with or without reasonable accommodation, before being permitted to commence work with Company. I understand, where permissible under applicable state and local law, I may be subject to a pre-employment background check after receiving a conditional offer of employment to investigate my criminal background and other matters related to my suitability for employment. Initial to agree., I hereby certify that the information given by me is true in all respects. I authorize Company and its representatives to contact my prior employers and all others (with the exception of my current employer, only if I have marked "May we contact your present employer" on this application as "No") for the purpose of verification of the information I have supplied and release same from any liability resulting from the information released. I authorize employers, schools and other persons named on this application to provide any information or transcripts requested. Initials to agree, I understand employment with Company is also contingent on my providing sufficient documentation necessary to establish my identity and eligibility to work in the United States. 

If employed, I understand that as a condition of employment that I may be required to agree to and sign a non-solicitation, non-disclosure, and/or other similar agreements. I also agree to notify the organization during the pre-employment process of any non-solicitation, non-disclosure, and/or other similar agreements that I may have already signed with current and former employers. 

I expressly understand and agree that, if employed, my employment, having no specified term, is based upon mutual consent and may be terminated at-will, with or without cause, by either party (Company or me) without prior notice to the other, unless otherwise prohibited by law. 

I understand that no representation, whether oral or written, by any representative or agent of Company, at any time, can constitute an implied or express contract of employment. I further understand no representative or agent of Company has the authority to enter into an agreement for employment for any specified period of time or to make any change in any policy, procedure, benefit or other terms or condition of employment other than in a document signed by an authorized representative. 

I understand that the technical processing and transmission of the application, including my personal information, may involve (a) transmissions over various networks, including the transfer of this information to the United States and/or other countries for storage, processing and use by Company, its affiliates, and their agents; and (b) changes to conform and adapt to technical requirements of connecting networks and devices. Accordingly, I agree to permit such parties to make such transmissions and changes, and hereby provide the necessary consent for the same. Initial to agree., Do you currently meet the worksite location requirements for being On-site or Hybrid as defined in the job description?, If “No”, are you willing to relocate to meet this requirement? Please note that candidates who are unable to work onsite or relocate will not meet the position requirements.

  • Are you legally authorized to work in the United States? yes / no
  • Are you a U.S. Citizen with eligibility for DoD Secret clearance? yes / no
  • Are you eligible to obtain a DoD Secret clearance? yes / no
  • Do you have a Bachelor’s or Master’s in Computer Science, Data/AI/ML, or a related field? yes / no
  • What are your annual salary expectations in USD?
  • Do you have 3–7 years of hands-on experience delivering Data/AI/ML solutions? yes / no
  • Do you have 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? yes / no
  • Do you have Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured)? yes / no
  • Do you have experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. yes / no
  • Do you have experience with agentic frameworks such as Agent2Agent Protocol, AWS Bedrock Agents, Mastra, CrewAI, Strands, or AgentCore? yes / no
  • Do you have knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks? yes / no
  • This role is a hybrid position requiring regular onsite work in McLean, VA. Are you currently local to the area and able to work onsite as required? If not, are you willing and able to relocate? Please note that candidates who are unable to work onsite or relocate will not meet the position requirements. yes / no

See also