Data Engineer
Graham Technologies•Largo, MD
•Remote
About The Position
Graham Technologies is seeking a highly skilled Data Engineer. This role will focus on designing, implementing, and optimizing cloud-native data pipelines, governance frameworks, AI-ready infrastructure, and enterprise data platforms supporting our customers' mission objectives. The ideal candidate will possess strong cloud engineering, ETL/ELT, data governance, and analytics expertise with experience supporting large-scale scientific or federal data environments.
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
Nice To Haves
- Familiarity with Kubernetes, containerization, and CI/CD pipelines preferred
- Experience with GIS and geospatial technologies preferred
- 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
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
Benefits
- Four Weeks of Accrued PTO in the First Year
- Eleven Paid Federal Holidays
- Comprehensive Health, Dental, Vision, and Life Insurance
- 401(k) Plan with Annual Employer Contributions
- Flexible Schedules
- Reimbursements for Continued Education and Training
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What This Job Offers
Job Type
Full-time
Career Level
Senior
