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

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine ...

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine ...

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Experience in Databricks, including DAB and Materialized Views. * 3+ years designing semantic ... for data engineering, including pipeline construction, transformation logic, and automation ...

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

Working with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview ... Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement An active TS/SCI ...

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with distributed data scripting, and computing tools including Databricks, Spark, AWS ...

Mid Data Engineer

Tampa, FL · On-site

$61K - $141K/yr

Experience with distributed data scripting, and computing tools including Databricks, Spark, AWS ... Experience with Agile engineering practices * Possession of excellent oral and written ...

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with distributed data scripting, and computing tools including Databricks, Spark, AWS ...

Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with distributed data scripting, and computing tools including Databricks, Spark, AWS ...

Azure/Databricks Infrastructure Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement bestpractice patterns for performance ...

Data Layer Engineer

Tampa, FL · On-site

$173K/yr

Data Layer Engineer Full TimeProfessional Doral, FL Position Summary The Data Layer Engineer ... Working with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.

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Databricks Data Engineer information

See Tampa, FL salary details

$42.1K

$122.6K

$167.8K

How much do databricks data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for databricks data engineer in Tampa, FL is $122,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $130,000.00 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 $122,620 per year, or $59 per hour.

Data Engineer - Databricks

Fintech

Tampa, FL • Hybrid

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Fintech rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

181st of 242 rated software companies


Job description

This position is Hybrid in Tampa, FL.

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.

Key Responsibilities 

Project Responsibility: End-to-end data pipelines and integrations

Technical Competencies:

  • Advanced SQL optimization and complex query design
  • Kafka streaming applications and connector development
  • Databricks workflow development with medallion architecture
  • Data governance implementation and compliance
  • Performance tuning for large-scale data processing
  • Data security and privacy best practices
  • Apache NiFi pipeline development for invoice and PO processing
  • Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
  • Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
  • Design and optimize data architectures for large-scale ML workloads
  • Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.

Soft Skills:

  • Cross-functional collaboration with product and engineering teams
  • Technical mentoring for junior data engineers
  • Analytical thinking for complex data problems
  • Stakeholder communication for data requirements
  • Process improvement and efficiency focus
  • Quality mindset for data accuracy and reliability Vendor Management:
  • Direct communication with data platform vendors
  • Evaluates vendor tools for specific data use cases
  • Provides technical feedback on vendor product roadmaps
  • Coordinates with vendors for data integration projects

 

Qualifications:

Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.

5+ years in data engineering; 2+ years applying ML in production. 

Our Benefits: 

  • Hybrid Work 
  • Employer Matched 401K 
  • Company Paid Medical Insurance Option for Employee and Dependent Children 
  • Company Paid Dental Insurance for Employee 
  • Company Paid Vision Insurance for Employee 
  • Company Paid Long and Short-Term Disability 
  • Company Paid Life and AD&D Insurance 
  • 18 Paid Vacation Days a Year 
  • Six Paid Holidays 
  • Employee Recognition Programs 
  • Holiday Bonus 
  • Incentive Compensation 
  • Community Outreach Opportunities 
  • Business Casual Dress Code 

About Fintech: 

Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource®, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visitwww.fintech.com

Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment.We E-Verify. 


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