Data Engineer Job Atlanta area,Georgia USA,Software Development

What You Will Do

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands‑on experience with modern data engineering tools, AI solutions, CI/CD, and version control, and will collaborate with cross‑functional teams to deliver high‑quality, scalable data solutions.

Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).
AI experience with prompt engineering, machine learning, agentic AI and RAG concepts
Build and optimize data architectures and models to support analytics, reporting, and operational needs.
Implement and manage CI/CD pipelines for data engineering workflows using tools such Git.
Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes).
Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
Ensure data quality and integrity through validation, monitoring, and logging.
Successfully juggle multiple tasks across different priorities.
Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
Document data flows, processes, and technical solutions for knowledge sharing and compliance.
Stay current with emerging technologies and best practices in data engineering, cloud, and Dev Ops.

What You Will Do

Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).
AI experience with prompt engineering, machine learning, agentic AI and RAG concepts
Build and optimize data architectures and models to support analytics, reporting, and operational needs.
Implement and manage CI/CD pipelines for data engineering workflows using tools such Git.
Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes).
Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
Ensure data quality and integrity through validation, monitoring, and logging.
Successfully juggle multiple tasks across different priorities.
Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
Document data flows, processes, and technical solutions for knowledge sharing and compliance.
Stay current with emerging technologies and best practices in data engineering, cloud, and Dev Ops.

Job Family

Data Science & Analysis

Travel Required

Up to 10%

Clearance Required

Ability to Obtain Public Trust

What You Will Need

U.S. Citizenship/ Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST".
A bachelor’s degree is required.
FIVE (5) years of experience in data engineering, software development, or related roles.
Experience in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
Experience with Co-Pilot and CodeX.
Experience designing and developing data pipelines and ETL processes.
Extensive experience with relational and No

SQL databases, such as MySQL, PostgreSQL, SQL Server, and MongoDB, including stored procedure development.
Experience working with Databricks.
Experience with CI/CD tools and pipelines, such as Gi and, Git Hub.
Experience operating in Agile development environments.

What Would Be Nice To Have

Experience supporting federal programs and/or large-scale data modernization projects.
Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.
Ability to work independently in a fast-paced environment.
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