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

Fintech Brand

Data Engineer - Databricks

Tampa, FL · On-site

$100 - $130/hr

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 ...

Fintech

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 ...

Fintech

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 ...

RIT Solutions, Inc.

Lead Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Required : • Snowflake shop • ETL processes • Data migration • modern data engineering practices, etc. • opentable formats like datalake and iceberg • Exposed to databricks pipeline • ...

Pwc

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 ...

Intellisoft Technologies

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Required : • Hands-on experience with data engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and Snowflake. • Design, develop, and optimize end-to ...

Bridgeway Benefit Technologies

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 ...

MAXhealth

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Experience with Microsoft Fabric components as well as Databricks * Familiarity with Azure Data ...

MaxHealth

Data Engineer- Greater Tampa

Tampa, FL

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Experience with Microsoft Fabric components as well as Databricks * Familiarity with Azure Data ...

MAXhealth

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Fabric and Databricks experience preferred)Experience developing ETL/ELT processes and data ...

Quiet Professionals LLC

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 ...

Agile Defense

Data Engineer - SOCOM

Tampa, FL

$108K - $129K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ... Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data ...

New

Agile Defense

Data Engineer - SOCOM

Tampa, FL

$108K - $129K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ... Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data ...

Agile Defense

Data Engineer - SOCOM

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer - SOCOM Location: On-Site, Tampa, FL Clearance Level: Top Secret / SCI, Must Have ... Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data ...

Pwc

GenAI Python Systems Engineer-Manager

Tampa, FL · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Pwc

GenAI Python Systems Engineer-Director

Tampa, FL · On-site

$155K - $410K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Tampa, FL

Databricks Data Engineer information

See Tampa, FL salary details

$40.5K

$118K

$161.5K

How much do databricks data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for databricks data engineer in Tampa, FL is $118,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 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.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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:

Databricks Data Engineer jobs near you
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 $118,048 per year, or $56.8 per hour.

Data Engineer - Databricks

Tampa, FL • On-site

Fintech Brand
See more jobs at Fintech Brandexternal

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

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

  • Advanced SQL optimization and complex query design
  • Kafka streaming applications and connector development
  • Databricks workflow development with medallion architecture
  • Data governance implementation and compliance
  • 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
  • Analytical thinking for complex data problems
  • 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.

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

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.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.

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