Cloud Data Engineer - ETL, AI/ML Pipelines, Flexible
Graham Technologies
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Benefits offered by this job
Job summary
Graham Technologies is seeking a Data Engineer to design, build, and maintain enterprise data solutions that support advanced analytics and modernize large-scale data environments. The role focuses on secure, scalable cloud-based data pipelines and data integration from multiple sources to enable predictive analytics and AI/ML capabilities.
Located in Tampa, FL, the team collaborates on BI initiatives, prepares data for dashboards, and produces technical documentation while supporting knowledge
Qualifications
- Bachelor's degree in a related technical discipline is required.
- 3+ years of experience with Python, R, or SQL.
- Experience with ETL and data integration.
- Experience with data analytics, data mining, AI/ML.
- Active TS/SCI clearance preferred; SCI-eligible candidates will be considered.
Responsibilities
- Assist with GitLab runner setup and CI/CD pipeline creation and troubleshooting
- Deploy applications and environment configuration tasks
- Support testing, validation, and documentation updates
- Assist in data integrations and API configuration activities
- Collaborate with senior engineers on Kubernetes-based deployments
Skills
Education
Job description
Graham Technologies is seeking a Data Engineer to design, build, and maintain enterprise data solutions that support advanced analytics and modernize large-scale data environments. The role focuses on secure, scalable cloud-based data pipelines and data integration from multiple sources to enable predictive analytics and AI/ML capabilities.
Located in Tampa, FL, the team collaborates on BI initiatives, prepares data for dashboards, and produces technical documentation while supporting knowledge
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