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Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 3+ years with Python and R or similar data science languages
  • 3+ years retrieving and analyzing data from APIs and databases via Python, R, or SQL
  • Experience with 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 field
Qualification wording
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.
Education & alternatives
Education: - Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline. Clearance:
Apply at Graham Technologies

Posting record

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Status in our records
Live
First seen by us
Sep 27, 202638 days ago
Recorded sightings
16
Last seen by us
Nov 4, 2026
Reposted
once since Sep 23, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 38

Similar jobs usually come down between day 5 and day 54.

From 10,703 similar postings that came down. Coming down is not always a hire.

Graham Technologies is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • 33% of open jobs were reposted
Hiring record

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  • Python
  • R
  • SQL
  • Kubernetes
Where the posting names them
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
- 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)
- Assist in data integrations and API configuration activities - Collaborate with senior engineers on Kubernetes-based deployments Required Skills:

Your next step

Complete your application on grahamtech.isolvedhire.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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.

Source details

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Location & working pattern

Tampa, FL, US

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