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Databricks Engineer Jobs in Florida (NOW HIRING)

Zenith services

Databricks Architect

Miami, FL · On-site

$62 - $81.25/hr

We are seeking a Databricks Engineer with strong expertise in building scalable data pipelines, data transformation workflows, and analytics solutions using the Databricks platform. The ideal ...

Ztek Consulting INC

Azure Databricks Architect

Miami, FL · 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 ...

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 ...

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Databricks Engineer information

See Florida salary details

$44.5K

$83.4K

$151.7K

How much do databricks engineer jobs pay per year?

As of Jul 10, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

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 job market for qualified candidates.

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 $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 industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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 job categories do people searching Databricks Engineer jobs in Florida look for? The top searched job categories for Databricks Engineer jobs in Florida are:
What cities in Florida are hiring for Databricks Engineer jobs? Cities in Florida with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Florida as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 73% In-person, 18% Hybrid, and 9% Remote job distribution, with an average salary of $83,421 per year, or $40.1 per hour.
Databricks Architect

Databricks Architect

Zenith services

Miami, FL • On-site

$62 - $81.25/hr

Contractor

Posted 13 days ago

Job description

Job Summary:
We are seeking a Databricks Engineer with strong expertise in building scalable data pipelines, data transformation workflows, and analytics solutions using the Databricks platform. The ideal candidate will have experience with big data technologies, cloud platforms, and modern data engineering practices.

Key Responsibilities:

  • Design, develop, and maintain data pipelines using Databricks, PySpark, and Spark SQL.
  • Build and optimize ETL/ELT processes for large-scale data processing.
  • Develop data ingestion frameworks from various sources including databases, APIs, and cloud storage.
  • Implement Delta Lake solutions to ensure data quality, reliability, and performance.
  • Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
  • Optimize Spark jobs and Databricks workloads for performance and cost efficiency.
  • Integrate Databricks with cloud services such as AWS, Azure, or GCP.
  • Monitor, troubleshoot, and resolve data pipeline and platform issues.
  • Participate in code reviews, testing, deployment, and documentation activities.

Required Skills:

  • Strong experience with Databricks, Apache Spark, PySpark, and Spark SQL.
  • Proficiency in Python and SQL.
  • Experience with Delta Lake, Data Lake, and Lakehouse architectures.
  • Knowledge of data modeling, ETL/ELT processes, and data warehousing concepts.
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Familiarity with CI/CD pipelines, Git, and DevOps practices.
  • Strong analytical and problem-solving skills.