Data Engineer

Graham Technologies is seeking a highly skilled Data Engineer to focus on designing, implementing, and optimizing cloud-native data pipelines and enterprise data platforms. The role involves collaborating with data practitioners and IT staff to develop cloud infrastructure requirements and support governance standards and data quality frameworks.

Responsibilities:

• Collaborate with customer data practitioners and IT staff to develop cloud infrastructure requirements
• Analyze technical options and develop cloud architecture proposals for modernization initiatives
• Design, build, and maintain scalable ETL/ELT pipelines supporting structured and unstructured datasets
• Implement Infrastructure-as-Code (IaC) automation and deployment workflows
• Develop data ingestion, transformation, metadata management, and reporting solutions
• Support governance standards, data quality frameworks, and enterprise metadata harvesting
• Enable AI/ML and MLOps lifecycle infrastructure across NOS programs
• Support GIS, video, analytics, and environmental data systems modernization efforts
• Develop operational reporting, performance metrics, and compliance dashboards
• Collaborate with cross-functional technical and non-technical stakeholders
• Provide monthly status reporting and support quarterly stakeholder reviews
• Support customer-wide data management initiatives and emerging mission programs

Requirements:

• Minimum 7+ years of experience in data engineering, cloud infrastructure, or enterprise data management
• Experience designing and implementing ETL/ELT pipelines and enterprise data warehouses
• Experience with cloud-native architectures and distributed data processing frameworks
• Experience supporting large-scale data modernization initiatives
• Experience with metadata management, data governance, and data quality processes
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation
• Experience with SQL, Python, and enterprise data integration tools
• Strong analytical and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to communicate complex technical concepts to diverse stakeholders
• Strong project coordination and prioritization capabilities
• Ability to work independently within distributed remote teams
• Familiarity with Kubernetes, containerization, and CI/CD pipelines
• Experience with GIS and geospatial technologies
• Federal Government program support experience
• Experience supporting AI/ML infrastructure and MLOps environments
• Experience with environmental, scientific, or geospatial datasets
• Experience supporting enterprise analytics and reporting platforms
• Master's degree in Data Science, Computer Science, Engineering, or related discipline
• Ability to obtain and maintain a Public Trust or other Government suitability requirements
• Controlled Unclassified Information (CUI) handling procedures
• Federal cloud modernization and governance frameworks