Data Engineer

Graham Technologies

• $95K — $115K *
Tampa, FL 33647In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years experience in data science languages such as Python and R
  • 3+ years in retrieving and analyzing structured and unstructured data from APIs and databases
  • Proficient in Extract, Transform, Load (ETL) processes
  • Experience in data analytics, data mining, statistical analysis, AI, and ML
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field
  • Active TS/SCI clearance preferred, Top Secret clearance candidates considered

Responsibilities

  • Assist with GitLab runner setup and CI/CD pipeline creation
  • Execute application deployments and configure environments
  • Support testing, validation, and documentation updates
  • Assist in data integrations and API configuration
  • Collaborate with senior engineers on Kubernetes-based deployments

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
Full Job Description
Graham Technologies is seeking a highly skilled Data Engineer to design, build, and maintain enterprise data solutions that support advanced analytics and modernize large-scale data environments. In this role, the Data Engineer will develop secure, scalable cloud-based data pipelines; integrate data from multiple enterprise sources; and help enable predictive analytics, artificial intelligence, and machine learning capabilities. The position also supports business intelligence initiatives by preparing data for dashboards, producing technical documentation, and facilitating knowledge transfer.

Location: Tampa, Florida

Key Responsibilities:
  • Assist with GitLab runner setup and CI/CD pipeline creation and troubleshooting
  • Execute application deployments 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

Required Skills:

Experience:
  • 3+ years of experience with major data science languages such as Python and R
  • 3+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, or SQL
  • Experience with Extract, Transform, and Load (ETL)
  • Experience with data analytics, data mining, statistical analysis, or AI and ML

Education:
  • 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.

Compensation:

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:
  • 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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