ZipRecruiter

Log In

1

Databricks Engineer Jobs in Lithia, FL (NOW HIRING)

Deloitte

Azure/Databricks Infrastructure Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

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 ...

New

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 ...

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 ...

White & Case LLP

Administrator, Databricks

Tampa, FL · On-site

$97K - $146K/yr

The role ensures Azure Databricks is deployed and managed as a secure, scalable, cost-effective ... Collaborate with Infrastructure, Security, Architecture, Data Engineering, and business ...

Intellisoft Technologies

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

... Azure Databricks, PySpark, and Snowflake to process both batch and real-time data workloads. • ... Required : • Hands-on experience with data engineering tools and technologies including Python ...

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Experience in Databricks, including DAB and Materialized Views. * 3+ years designing semantic ... Azure DevOps; GitHub CoPilot knowledge is a plus. * Bachelor's degree in Computer Science ...

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 ...

Axogen

Sr. Analytics Engineer

Tampa, FL

$98K - $135K/yr

Job Summary of the Sr. Analytics Engineer The Sr. Analytics Engineer will report to the Sr. Manager ... Familiarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse ...

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 ...

New

Endurion

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/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.

next page

Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Lithia, FL

Databricks Engineer information

See Lithia, FL salary details

$52K

$97.6K

$177.5K

How much do databricks engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for databricks engineer in Lithia, FL is $97,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $115,800.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

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

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

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Lithia, FL as of July 2026, with employment types broken down into 1% As Needed, 90% Full Time, 4% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $97,600 per year, or $46.9 per hour.

Azure/Databricks Infrastructure Engineer

Deloitte

Tampa, FL • On-site

$52.75 - $70.50/hr

Full-time

Re-posted 27 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 151 rated financial services

Job description

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, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

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, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply