Data Engineer

Credence

Warner Robins (GA)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan

Retirement Plan

Paid Time Off

Free Food & Snacks

Training & Development

Job summary

A technology solutions provider is seeking a Mid-Level AI Data Engineer to enhance their AI and Automation practice. This role involves building data pipelines, managing cloud-based datasets, and collaborating with engineers to develop impactful AI solutions. Candidates should possess 3-7 years of experience in Data/AI/ML, hold a relevant degree, and be familiar with cloud technologies. The position offers a dynamic environment focusing on innovation and professional growth.

Qualifications

3-7 years of hands-on experience delivering Data/AI/ML solutions.
Strong understanding of ETL processes.
Experience with vector databases and generative AI.
Familiarity with leading AI APIs.

Responsibilities

Build and optimize data pipelines for generative AI.
Manage datasets across cloud platforms.
Monitor, tune, and maintain data stores.
Collaborate with engineers to develop AI systems.

Skills

Data Pipeline Processes

Machine Learning

Strong Communication

Client-Oriented Mindset

Education

Bachelor's or Master's in Computer Science or related field

Tools

AWS

Python

Terraform

VS Code

CI/CD Tools

Job 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

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 Claude Code

Strong communication skills and client-oriented mindset

Preferred

Curious and experimental about the latest innovations in AI with an orientation toward 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