ZipRecruiter

Log In

1

Azure Databricks Jobs in Florida (NOW HIRING)

SBA Communications

Databricks Engineer

Boca Raton, FL · On-site

Responsibilities : • Provision, configure, and manage Databricks workspaces in Azure, including cluster policies, SQL Warehouses, compute governance, and workspace-level security hardening. • ...

APCO Holdings

Cloud Optimization Architect

Ponte Vedra, FL · Hybrid

$61.75 - $78.75/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

APCO Holdings

Cloud Optimization Architect

Ponte Vedra, FL · Hybrid

$61.75 - $78.75/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

Royal Caribbean Group

Product Owner, GenAI

Miami, FL · On-site

... Databricks, Mosaic AI, Azure OpenAI, Microsoft Copilot Studio, Azure Machine Learning, Power BI, and Azure AI Services. • Identifies potential risks and issues with product delivery; ensures ...

Slide Insurance

Data Engineer

Tampa, FL · 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 ...

NAVA Software Solutions

Azure Developer - Remote

Lakeland, FL · On-site +1

$51 - $63.25/hr

Development of Databricks (Spark), Kafka workloads * Experience with JSON, AVRO, Parquet Delta Format on HDFS * Azure infrastructure coding and pipeline deployment using one or more like Terraform ...

Dlapiper

Data Engineer

Miami, FL · 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 ...

Royal Caribbean Group

Senior Product Owner, GenAI

Miami, FL · 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.

next page

Showing results 1-20

All JobsAzure Databricks JobsAzure Databricks Jobs in Florida

Azure Databricks information

See Florida salary details

$8

$43

$59

How much do azure databricks jobs pay per hour?

As of Jun 19, 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 highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

What does a typical day look like for someone working in an Azure Databricks role?

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 are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

What is an Azure Databricks job?

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.

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

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.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
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 are popular job titles related to Azure Databricks jobs in Florida? For Azure Databricks jobs in Florida, the most frequently searched job titles 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:
Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Florida as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,778 per year, or $43.6 per hour.

Data Architect OBIS Modernization Project

Siritech Solutions Corp

Tallahassee, FL • On-site

$60.50 - $78/hr

Full-time

Posted 28 days ago

Be an early applicant

Job description

Total Required Experience in Years: Minimum 7+ Years (DBMS Management & ETL/Data Engineering), Minimum 3+ Years (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Purview)


Job Description:Seeking an experienced Data Architect to support enterprise data warehouse modernization initiatives through enterprise data architecture, logical and physical data modeling, ETL design, source-to-target mapping, governance, and data optimization activities. The ideal candidate should possess strong expertise in large-scale database systems, Azure-based data platforms, ETL engineering, SQL, Spark, Python, and Scala while supporting secure, compliant, and high-performing enterprise data solutions. This role requires hands-on experience designing Operational Data Stores (ODS), data warehouses, data marts, data lineage, metadata standards, governance procedures, and performance optimization while ensuring regulatory, security, privacy, and audit readiness requirements are met.


Key Responsibilities:

  • Define enterprise logical and physical data models for large-scale data environments
  • Develop source-to-target mappings and transformation strategies for enterprise systems
  • Design Operational Data Stores (ODS), data warehouses, and data mart structures
  • Establish data standards, metadata rules, naming conventions, and governance procedures
  • Define and maintain data quality rules, validation standards, and lineage processes
  • Lead enterprise data ingestion, transformation, and data distribution strategies
  • Optimize database performance, indexing, batch processing, error handling, and recovery strategies
  • Support high-performance ETL pipeline development and enterprise data integration
  • Partner with developers, analysts, architects, and stakeholders to align enterprise data architecture needs
  • Produce technical documentation for models, mappings, governance standards, and audit readiness


Additional Responsibilities:

  • Act as Subject Matter Expert (SME) for enterprise data architecture best practices
  • Advise teams on integration patterns, modeling strategies, and technology selection
  • Support regulatory, privacy, traceability, and compliance requirements
  • Maintain secure and compliant data governance frameworks including RBAC implementation
  • Complete department security awareness requirements and background verification activities
  • Support continuous improvements in enterprise data management and modernization efforts


Required Skills:

  • Minimum 7 years managing large and complex DBMS environments
  • Minimum 7 years of ETL development and data engineering experience
  • Minimum 3 years of hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Purview
  • Strong SQL development and optimization expertise
  • Experience building scalable and high-performance ETL pipelines
  • Expertise in Spark, Python, and/or Scala for data processing
  • Strong understanding of Azure data governance, RBAC, and security protocols
  • Experience implementing secure, compliant ETL and enterprise data solutions
  • Strong enterprise data modeling, lineage, governance, and optimization experience


Qualifications:

  • Strong expertise in enterprise data architecture and modernization initiatives preferred
  • Experience advising teams on data modeling, architecture, and integration strategies preferred
  • Experience supporting secure, regulated, or compliance-driven environments preferred
  • Strong documentation, governance, and stakeholder collaboration skills preferred
  • Experience with AWS warehouse environments, AWS S3, and Data Sync preferred
  • Knowledge of compliance frameworks involving CJI, HIPAA, and PII preferred


Certifications:

  • Microsoft Azure Data Engineer Associate preferred
  • Azure Solutions Architect Expert preferred
  • Azure Fundamentals preferred
  • Databricks Data Engineer Associate preferred