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Data Engineering Jobs in Oldsmar, FL (NOW HIRING)

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Data Engineer

Tampa, FL ยท On-site

$110K - $160K/yr

DoD Top Secret Clearance with SCI Eligibility * 5+ years of Data Engineering experience * 4+ years of experience with Python * Experience with logistic systems such as LMP, DRRS, GCSS-Army, etc.

New

Sr Data Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

Tampa, FL Duration: 8+ Months โ€ข Data Management -BigQuery big data hive GCP components โ€ข In this role, you will be part of Trane Technologies' Data Engineering team, providing solutions and data ...

Data Engineer - MDM

Tampa, FL ยท On-site

$88K - $110K/yr

MDM Data Engineer- Tampa, Florida Be a part of a revolutionary change! At Philip Morris ... This role involves taking end-to-end engineering accountability, understanding the technology and ...

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch ...

Data Management Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

Data Management Engineer Job Category ... Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ...

A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline.In addition, data ...

Senior Data Engineer

Tampa, FL ยท On-site

$137K - $166K/yr

Stay current with the latest technologies and best practices in data engineering and apply them to continuously improve processes Qualifications & Experience: Required: Bachelor's or Master's degree ...

Senior Data Engineer

Tampa, FL ยท On-site

$137K - $166K/yr

Minimum of 5-7 years of experience in data engineering or a related role * Proficiency in Databricks with a strong focus on data engineering * Strong SQL skills and experience with relational ...

Data Engineer

Tampa, FL

$114K - $135K/yr

This role is ideal for individuals who are beginning their data engineering career and eager to work with modern cloud, ETL, and automation technologies in a collaborative environment.

Data Engineer

Tampa, FL ยท On-site

$114K - $135K/yr

This role is ideal for individuals who are beginning their data engineering career and eager to work with modern cloud, ETL, and automation technologies in a collaborative environment.

Lead Data Engineer

Saint Petersburg, FL ยท Hybrid

$96K - $127K/yr

The ideal candidate combines deep expertise in Oracle database development, data engineering, application integration, and production support with strong technical leadership and problem-solving ...

Data Engineer with Security Clearance

Tampa, FL ยท On-site

$108K - $129K/yr

... current with emerging data engineering tools, technologies, and industry best practices. This position description outlines the core duties for this role, but it is not all-inclusive.

Senior Data Engineer

Tampa, FL ยท On-site

$125 - $150/hr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

New

Oracle Data Engineer Lead

Tampa, FL ยท On-site

$65 - $70/hr

Ensure data solutions align with business goals compliance standards and industry best practices Required Qualifications * 7 years of experience in data engineering within enterprisescale ...

Showing results 41-60

Data Engineering information

See Oldsmar, FL salary details

$42.1K

$151.1K

$222.9K

How much do data engineering jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineering in Oldsmar, FL is $151,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $155,600.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What cities near Oldsmar, FL are hiring for Data Engineering jobs?

Cities near Oldsmar, FL with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Oldsmar, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $151,062 per year, or $72.6 per hour.

Data Engineer with Security Clearance

Graham Technologies

Tampa, FL โ€ข On-site

$112K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data environments. The successful candidate will build secure, scalable cloud-based data pipelines, integrate data from multiple sources, and enable predictive analytics, artificial intelligence, and machine learning capabilities. This role also supports business intelligence initiatives by preparing data for dashboards, developing technical documentation, and facilitating knowledge transfer. Location
Tampa, Florida Responsibilities Design, develop, and maintain scalable enterprise data pipelines supporting high-volume logistics data.
Develop ETL/ELT processes that integrate data from multiple enterprise logistics systems into centralized cloud-based data repositories.
Build and optimize data lake architectures supporting structured and unstructured data.
Develop batch and streaming data pipelines utilizing technologies such as Apache Kafka, Apache Airflow, and Apache NiFi.
Design and implement cloud-native storage and compute solutions within AWS or Azure environments.
Develop secure data architectures that comply with Department of Defense cybersecurity requirements.
Implement data governance, metadata management, data lineage, audit trails, and data quality controls.
Develop and maintain SQL and NoSQL databases supporting enterprise analytics.
Design and implement APIs supporting enterprise data integration and interoperability.
Collaborate with Data Scientists to prepare, transform, and optimize datasets for predictive analytics and machine learning models.
Develop reusable data models that support executive dashboards and business intelligence reporting using Power BI, Tableau, Qlik, or similar visualization platforms.
Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure.
Create technical documentation including architecture diagrams, data dictionaries, interface specifications, API documentation, and standard operating procedures.
Participate in knowledge transfer activities and technical training sessions for Government personnel.
Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
Collaborate with cross-functional engineering teams to continuously improve enterprise data capabilities.
Required Qualifications
Active Top Secret with the ability to attain a SCI
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.
Minimum five (5) years of professional Data Engineering experience.
Experience designing and implementing enterprise ETL/ELT data pipelines.
Strong programming experience using Python.
Advanced SQL development experience.
Experience with NoSQL databases.
Experience with Apache Kafka or similar streaming technologies.
Experience with Apache Spark.
Experience with Apache Airflow, Apache NiFi, or comparable orchestration tools.
Experience designing and supporting cloud-based data solutions using AWS or Azure.
Experience implementing enterprise data governance, metadata management, and data quality processes.
Experience integrating data from multiple enterprise applications using APIs.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent written and verbal communication skills.
Preferred Qualifications Experience supporting Department of Defense or Federal Government programs.
Experience supporting logistics, supply chain, sustainment, or operational data environments.
Experience with AWS S3, Azure Blob Storage, AWS KMS, or Azure Key Vault.
Experience developing enterprise data lakes or modern data warehouse solutions.
Experience supporting business intelligence and dashboard development.
Experience with containerized applications and DevSecOps pipelines.
AWS or Microsoft Azure Cloud Certification.
Security+ or other DoD 8570/8140 certification.
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.