AI Data Engineer

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
• 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.

What You Will Need:

• Must be able to OBTAIN and MAINTAIN a PUBLIC TRUST.
• A bachelors 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.

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 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