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 Why Graham Technologies? Our core values define who we are: • Value our Customers • Care about our Employees • Passionate about Innovation • Believe in a Strong Work Ethic • Rely on Teamwork • Integrity Matters Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do. We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.

Requirements

Must-haves

Location: Tampa, Florida
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
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
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.
Value our Customers
Care about our Employees
Passionate about Innovation
Believe in a Strong Work Ethic
Rely on Teamwork
Integrity Matters

Nice-to-haves

Active TS/SCI preferred; candidates with an active Top Secret (TS) clearance who are SCI-eligible will also be considered.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningci/cdapikubernetespythonsqlaiml

Platform: isolved
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto