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Databricks Developer Jobs in Florida (NOW HIRING)

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 Developer information

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How much do databricks developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for databricks developer in Florida is $45.95, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $50.82 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

What are the key skills and qualifications needed to thrive in the Databricks developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What do you need to be a Databricks developer?

To become a Databricks developer, you typically need proficiency in Apache Spark, programming skills in languages like Python, Scala, or SQL, and experience with cloud platforms such as AWS or Azure. Knowledge of data engineering, ETL processes, and familiarity with Databricks' environment and tools are also important, along with relevant certifications or training.

What is a Databricks developer?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What is the salary of a Databricks developer?

The salary of a Databricks developer 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, or data engineering may earn higher compensation.

Is a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Florida as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $95,579 per year, or $46 per hour.

Azure Databricks Architect || Fulltime/Permanent ONLY

New York Technology Partners

Miami, FL • On-site

$60.75 - $79.25/hr

Other

Posted 10 days ago

Job description

Role: Azure Databricks Architect

Location: Miami, FL ( 5 Days Onsite )

Job Type: Fulltime/Permanent

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.
  • 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.

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.

Apply