AI Data Engineer

Delan Associates•Atlanta, GA

About The Position

Client 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. AI experience with prompt engineering, machine learning, agentic AI and RAG concepts.

Requirements

Must be able to OBTAIN and MAINTAIN a "PUBLIC TRUST".
A bachelor’s degree is required.
FIVE (5) years of experience in data engineering, software development, or related roles.
Experience with Co-Pilot and CodeX., and AI methods.
Experience presenting status and work products.
Experience in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
Experience designing and developing data pipelines and ETL processes.
Extensive experience with relational and NoSQL 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 GitHub.
Experience operating in Agile development environments.

Nice To Haves

Experience supporting federal programs and/or large-scale data modernization projects.
Familiarity with version control and collaboration tools, including Git, and Azure Dev Ops
Ability to work independently in a fast-paced environment.
Strong analytical and troubleshooting skills.
Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.
Familiarity with containerization and orchestration technologies
Familiarity with security best practices and compliance in federal environments.
Experience with microservices, Spring Boot, and integration of AI/ML components.
Previous consulting experience

Responsibilities

Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).
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.
Manage multiple tasks effectively across competing 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 DevOps.