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Job Description

Graham Technologies is seeking a Data Engineer in Tampa, Florida to design, build, and maintain enterprise data solutions. The role focuses on secure, scalable cloud-based data pipelines that enable analytics, predictive analytics, AI/ML, and business intelligence through integration, documentation, and knowledge transfer.

Key Responsibilities

  • Assist with GitLab runner setup and support the creation, troubleshooting, and maintenance of CI/CD pipelines
  • Execute application deployments and perform environment configuration tasks
  • Support testing and validation activities, including updates to technical documentation
  • Assist with data integration work and API configuration activities
  • Collaborate with senior engineers on Kubernetes-based deployments

Required Qualifications

  • 3+ years of experience using major data science languages such as Python and R
  • 3+ years of experience retrieving, merging, and analyzing structured and unstructured data from APIs and databases using Python, R, or SQL
  • Experience with Extract, Transform, and Load (ETL)
  • Experience with data analytics, data mining, statistical analysis, or AI/ML
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline
  • Clearance: Active TS/SCI preferred; candidates with an active Top Secret (TS) clearance who are SCI-eligible will also be considered

Technology Stack

  • GitLab, CI/CD
  • Kubernetes
  • Python, R
  • SQL
  • ETL
  • API configuration and integration

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

Location

Tampa, Florida (onsite)

About Graham Technologies

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

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