1

Databricks Engineer Jobs in Florida (NOW HIRING)

Azure Databricks Architect

Miami, FL ยท On-site

$60.75 - $79.25/hr

Detailed We are seeking a Azure Databricks Architect to define and lead the architecture of ... Partner closely with business analysts, functional teams, and engineering teams to translate ...

Data Engineer - Databricks

Tampa, FL ยท 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 ...

Lead Forward Deployed Engineer - Databricks

Miami, FL ยท On-site

$98K - $129K/yr

... Lead Databricks FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI ...

Data Engineer - Databricks

Tampa, FL ยท 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 ...

Senior Forward Deployed Engineer - Databricks

Tampa, FL ยท On-site

$98K - $135K/yr

... engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on September 30, 2026 Work you'll do As a Senior Databricks ...

Senior Forward Deployed Engineer - Databricks

Miami, FL ยท On-site

$99K - $137K/yr

... engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations. Recruiting for this role ends on September 30, 2026 Work you'll do As a Senior Databricks ...

Lead Forward Deployed Engineer - Databricks

Tampa, FL ยท On-site

$96K - $127K/yr

... Lead Databricks FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI ...

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

Data Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory , Databricks , PySpark , and Spark SQL . You'll partner with engineering and business ...

next page

Showing results 1-20

Databricks Engineer information

See Florida salary details

$44.5K

$83.4K

$151.7K

How much do databricks engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for databricks engineer in Florida is $83,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $99,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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, and why are they important?

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 popular job titles related to Databricks Engineer jobs in Florida? For Databricks Engineer jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Databricks Engineer jobs? Cities in Florida with the most Databricks Engineer job openings:

Azure Databricks Architect

Ztek Consulting INC

Miami, FL โ€ข On-site

$60.75 - $79.25/hr

Full-time

Posted 23 days ago

Be an early applicant


Job description

Detailed Job Description:

We are seeking a Azure Databricks Architect to define and lead the architecture of scalable, secure, and high-performance data platforms on Microsoft Azure. This role isย hands-onย and requires both architectural leadership and direct contribution to design, development, optimization, and delivery. The ideal candidate will shape platform strategy while actively building proof-of-concepts, reference implementations, and production-grade solutions.

Key responsibilities

  • Own the end-to-end architecture for Azure Databricks-based data platforms, including ingestion, transformation, storage, serving, and governance layers.
  • Design reusable frameworks, ELT patterns, and data models that improve delivery speed, consistency, and maintainability.
  • Build and optimize pipelines and Spark jobs directly, with a strong focus on performance, reliability, and cost efficiency.
  • Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure Data Factory, and related Azure platform services.
  • Establish governance, security and code-quality standards for the platform.
  • Partner closely with business analysts, functional teams, and engineering teams to translate requirements into working solutions.
  • Guide troubleshooting, code reviews, and production support for complex data workloads.
  • Drive modernization and cloud-native adoption across data and analytics capabilities.

Must-have qualifications

  • 12+ years of experience in data engineering, data architecture, or platform engineering.
  • Strong hands-on experience with Azure Databricks, Spark, Python/Scala, SQL, and Delta Lake.
  • Proven experience designing and implementing cloud data hubs, data lakes, and analytical data stores.
  • Experience with Azure DevOps, CI/CD, and automated deployment practices.
  • Ability to work directly on technical implementation, not only provide oversight.
  • Strong communication and stakeholder collaboration skills.

Preferred qualifications

  • Experience in financial services or insurance.
  • Knowledge of Event Hub, Cosmos DB, Azure Synapse, or other Azure analytics services.
  • Databricks or Microsoft Azure certifications.
  • Experience with reusable frameworks, shell scripting, and production support in large-scale environments.