Key skills

Public Trust Clearance EligibilityPrompt EngineeringMachine LearningAgentic AI and Retrieval-Augmented Generation (RAG)JavaPythonSQLPySparkRESTful and SOAP API DevelopmentMySQL, PostgreSQL, SQL Server, and MongoDBData Pipeline and ETL DevelopmentDatabricksNoSQLRAIMLRAGAgenticETLData EngineeringAnalyticsSpring BootSpringAzureKubernetesDockerAzure FunctionsAzure DevOpsPostgreSQLMySQLMongoDBSQL ServerRESTfulGitGitHubVersion ControlAgileCI/CDCollaboration

About this role

Blu Omega is a technology and cybersecurity solutions provider supporting federal agencies and enterprise clients. The AI Software Engineer will support the CDC NCEH program by developing and maintaining data pipelines, AI solutions, cloud-based platforms, and analytics systems while ensuring data quality, reliability, and compliance.

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 workflows using tools such as Git
Develop and deploy cloud-based solutions leveraging Azure Functions and containerization technologies like Docker and 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
Troubleshoot and resolve issues in production to ensure 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

Requirements:

U.S. Citizenship and ability to obtain and maintain a Federal Public Trust clearance
Bachelor's degree
Five (5) years of experience in data engineering, software development, or related roles
Hands-on experience with AI solutions, including prompt engineering, machine learning, agentic AI, and RAG concepts
Experience with programming languages including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP)
Extensive experience with relational and NoSQL databases such as MySQL, PostgreSQL, SQL Server, and MongoDB
Proven expertise with data pipeline and ETL development
Experience with Databricks and cloud deployment
Familiarity with CI/CD tools and pipelines, particularly GitHub
Experience working in Agile development environments
Experience supporting federal programs or large-scale data modernization projects
Familiarity with version control and collaboration tools like Git and Azure DevOps
Knowledge of containerization and orchestration technologies
Understanding of security best practices and compliance in federal environments
Experience with microservices, Spring Boot, and integrating AI/ML components
Previous consulting experience