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Azure Databricks Jobs in Florida (NOW HIRING)

Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Senior Product Owner, GenAI

Miami, FL ยท On-site

$121K - $159K/yr

Oversees integration and usage of key AI tools and platforms including Azure Databricks, Mosaic AI, Azure OpenAI, Microsoft Copilot Studio, Azure Machine Learning, Power BI, and Azure AI Services.

Oversees integration and usage of key AI tools and platforms including Azure Databricks, Mosaic AI, Azure OpenAI, Microsoft Copilot Studio, Azure Machine Learning, Power BI, and Azure AI Services.

Sr Databricks Data Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

Sr Databricks Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

Showing results 41-60

Azure Databricks information

See Florida salary details

$8

$43

$59

How much do azure databricks jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for azure databricks in Florida is $43.64, according to ZipRecruiter salary data. Most workers in this role earn between $39.52 and $49.04 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

What does an Azure Databricks do?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

What are the key skills and qualifications needed for an Azure Databricks?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are the most commonly searched types of Azure Databricks jobs in Florida? The most popular types of Azure Databricks jobs in Florida are:
What job categories do people searching Azure Databricks jobs in Florida look for? The top searched job categories for Azure Databricks jobs in Florida are:
Infographic showing various Azure Databricks job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,778 per year, or $43.6 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL โ€ข On-site

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: /hr
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Deepa Narayanan
Location: San Jose CA
Duration: 6 months
skill id: 10889944
100% Onsite Role
Software Dev Engineer.
Design and develop scalable integrations, data pipelines, and platform extensions across Gainsight NXT, Microsoft Dynamics, Azure, Databricks, and middleware platforms to enable customer success operations and AI-driven insights. Collaborate with cross-functional teams to build secure, high-performance solutions that support automation, analytics, and enterprise-scale customer lifecycle management.
Skills: Software Product Development
Experience Required: 6-8