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Databricks Data Engineer Jobs in Tampa, FL (NOW HIRING)

UNCOMN is seeking a Data Engineer 2-3 (Associate/Mid-Level) to: * Design, build, and evolve ... Databricks. Why UNCOMN? * Instant Flexible PTO: Enjoy flexible paid time off starting your very ...

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Role Overview The Director of Data Platform will lead a team of two data engineers and four BI ... Databricks, Domo, Tableau) and potentially real-time transactional databases (SQL Server ...

... engineering and analytics teams to implement metadata management practices Support documentation and visibility of data lineage across modern data platforms (Databricks, Kafka, cloud databases ...

... engineering and analytics teams to implement metadata management practices Support documentation and visibility of data lineage across modern data platforms (Databricks, Kafka, cloud databases ...

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Work with data engineers to integrate data from multiple sources (structured and unstructured ... Relevant industry certifications (e.g., Snowflake SnowPro, Databricks Certified, AWS/Azure Data ...

Lead end-to-end sales forecasting model development - from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure) * Design and maintain ...

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Lead end-to-end sales forecasting model development -- from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure) * Design and maintain ...

Showing results 41-60

Databricks Data Engineer information

See Tampa, FL salary details

$42.1K

$122.6K

$167.7K

How much do databricks data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for databricks data engineer in Tampa, FL is $122,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $129,900.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Tampa, FL?

The most popular types of Databricks Data Engineer jobs in Tampa, FL are:

What are popular job titles related to Databricks Data Engineer jobs in Tampa, FL?

For Databricks Data Engineer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Tampa, FL look for?

The top searched job categories for Databricks Data Engineer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Databricks Data Engineer jobs?

Cities near Tampa, FL with the most Databricks Data Engineer job openings:

Infographic showing various Databricks Data Engineer job openings in Tampa, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $122,584 per year, or $58.9 per hour.

Data Engineer 2-3 (Associate/Mid-Level)

UNCOMN

Tampa, FL • On-site

$77K - $110K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


Job description

At UNCOMN, we don’t just fix issues; we deliver secure solutions that power essential operations in both the public and private sectors. Our team tackles tough challenges—whether it’s improving organizational systems, streamlining logistics, or making sense of complex data—all with one goal: helping our clients succeed so they can continue serving others.
We’ve built a culture rooted in our Core Values, where innovation thrives, work-life balance is respected, and career growth is always encouraged. We're also proud to be recognized as a ‘Top Workplace,’ and that’s not just us talking; it’s our employees. Now, we’re looking for another Uncommon Genius to join our dynamic team. If you love solving puzzles, building new things, fixing what’s broken, or pushing the boundaries of creativity, we encourage you to explore the details of this position below!
UNCOMN is seeking a Data Engineer 2-3 (Associate/Mid-Level) to:
  • Design, build, and evolve scalable data pipelines that power analytics, reporting, and machine learning initiatives.
  • Develop and manage ETL/ELT workflows to efficiently ingest, transform, and deliver high-quality data across platforms.
  • Ensure data accuracy, consistency, and integrity through strong governance practices and validation frameworks.
  • Architect and maintain robust data models, warehouses, and lakehouse environments to support growing data needs.
  • Continuously optimize database and query performance to enable fast, reliable access to critical datasets.
  • Implement partitioning, indexing, and other performance strategies to scale data systems effectively.
  • Leverage cloud platforms and modern data technologies to build resilient, high-performing data infrastructure.
  • Partner closely with data scientists, analysts, and engineers to translate business needs into reliable data solutions.
  • Champion data security, privacy, and regulatory compliance across the data ecosystem.
  • Establish and maintain data governance standards to ensure data quality, accessibility, and responsible use.
  • Proactively monitor, troubleshoot, and strengthen the reliability of production data pipelines.
  • Drive automation and workflow improvements to increase efficiency and reduce manual effort.
  • Stay 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. Responsibilities may shift based on contract requirements, mission needs, or organizational objectives.
Requirements
  • 3+ years of experience, including designing, developing, and automating ETL/ELT pipelines.
  • Active DoD Secret clearance (or higher).
  • Prior experience with BI tools, cloud platforms, and big data technologies, with proficiency in SQL, Python, and/or Scala.
  • Familiarity with data modeling, warehousing, and lakehouse architectures, with knowledge of data optimization, governance, security, and compliance best practices.
  • Excellent problem-solving, communication, and collaboration skills, with the ability to work cross-functionally.
  • Must be comfortable working onsite full-time and traveling (up to 15% of the time), primarily to Scott AFB in O'Fallon, IL, and/or Norfolk Naval Base in Norfolk, VA.
Preferred
  • Bachelor's degree in a related field from an accredited college or university.
  • Prior experience with the USTRANSCOM systems, Qlik, Advana tool suite, Maven Smart System, and/or Databricks.
Why UNCOMN?
  • Instant Flexible PTO: Enjoy flexible paid time off starting your very first day with us!
  • Generous Holidays: Benefit from 7 paid holidays and up to 3 floating holidays annually.
  • Immediate Health Coverage: Get access to comprehensive health benefits from day one.
  • 401K Safe Harbor Match: Secure your future with our top-tier 401K matching program.
  • Performance Bonus: Stand out and you could earn an annual performance bonus.
  • Growth Opportunities: Advance your career with our training and education assistance programs.
  • Free Employee Assistance Program (EAP): Access complimentary support services for you and your family.
Note: Benefits apply to full-time employees only.

Don’t meet every single requirement? We’re dedicated to building an uncommon, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.