Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,226 postings in the last year. Stated ranges, not salaries paid.
Tampa, FL, US
Live, first seen by us 44 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
candidates with an active Top Secret (TS) clearance who are SCI-eligible will also be considered
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
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.
Education: - Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline. Clearance:
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.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,226 postings in the last year. Stated ranges, not salaries paid.
Day 44
Similar jobs usually come down between day 5 and day 54.
From 12,292 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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:
Complete your application on grahamtech.isolvedhire.com. The employer’s form will show what is required.
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Yes. We’ve followed one other Data Engineer job there since September 2026. It is still up.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
Required Skills:
Experience:
Education:
Clearance:
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:
Why Graham Technologies?
Our core values define who we are:
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.
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Tampa, FL, US
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