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Databricks Engineer Jobs in Florida (NOW HIRING)

Lead Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Required : • Snowflake shop • ETL processes • Data migration • modern data engineering practices, etc. • opentable formats like datalake and iceberg • Exposed to databricks pipeline • ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ... Work with Databricks and Apache Spark to process and transform data. Troubleshoot data quality ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ... Work with Databricks and Apache Spark to process and transform data. * Troubleshoot data quality ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ... Work with Databricks and Apache Spark to process and transform data. Troubleshoot data quality ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

The ideal candidate has foundational experience with Databricks, SQL, SQL Server, SSIS, PL/SQL, and ... engineering teams to deliver data solutions. • Create and maintain technical documentation and ...

Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other ... Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven ...

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic ... Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ...

Senior Data Engineer

Rockledge, FL · On-site +1

$92K - $125K/yr

The Senior Data Engineer must be able to meet the key criteria below: Location: 100% remote. This ... Experience with Databricks and/or Palantir Foundry required * Active CompTIA Security+ or CompTIA ...

New

Senior Data Engineer, AI & Agents

Miami, FL · On-site

$101K - $137K/yr

As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by ... You will operate across Databricks and Snowflake, converting source tables to open formats and ...

Showing results 41-60

Databricks Engineer information

See Florida salary details

$44.5K

$83.4K

$151.7K

How much do databricks engineer jobs pay per year?

As of Sep 13, 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 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?

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 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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What cities in Florida are hiring for Databricks Engineer jobs?

Cities in Florida with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $83,421 per year, or $40.1 per hour.

Information Technology_USA - USA_Engineer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees

$106K - $127K/yr

Contractor

Re-posted 12 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Remote
Duration: 6 months
skill id: 10892152
Role Overview
• We are seeking a highly skilled Databricks & AI Engineer to join our growing FinOps team.
• In this role, your primary focus will be engineering-driven: building robust data ingestion pipelines in Databricks, managing massive datasets across multi-cloud environments using Lakehouse architecture, and leading our transition toward Agentic AI Proof of Concepts (PoCs).
• While this role sits within the FinOps functional area, core FinOps domain knowledge is secondary.
• We are looking for a pure technical powerhouse who can leverage Python, Databricks, and advanced AI frameworks to optimize, track, and revolutionize how we manage cloud spend.
Key Responsibilities
Data Pipeline Engineering
• Design, build, and maintain scalable, automated data ingestion pipelines to collect cloud billing, usage, and performance data from various sources in Databricks.
Big Data Processing
• Leverage Databricks (Spark/PySpark) to process, transform, and clean large-scale unstructured and structured cloud financial data.
API Integration
• Develop and maintain API integrations (specifically utilizing FastAPI) to pull data from diverse vendor platforms and internal systems.
Multi-Cloud Data Management
• Query and analyze massive datasets across AWS (Athena), GCP (BigQuery), and Azure (Data Lake & Cosmos DB).
AI & Automation Innovations
• Architect and implement next-generation Agentic AI workflows and PoCs to automate cloud cost anomalies, forecasting, and recommendations.
Version Control & DevOps
• Manage codebase integrity and CI/CD alignment using Git and its associated ecosystem.
Required Skills
Data & Systems Engineering
• Hands-on experience building production-grade data pipelines.
• Experience working natively with large datasets using distributed computing (Spark/PySpark).
Big Data Ecosystem
• Strong working knowledge of Databricks.
• Familiarity with Data Lake architecture.
• Familiarity with Medallion Architecture.
Programming & Querying
• Advanced proficiency in Python.
• Advanced proficiency in SQL.
API Development
• Proven experience creating and consuming RESTful API calls to aggregate data.
Cloud Architecture
• Solid understanding of multi-cloud platforms, specifically:
o Azure Data Lake
o Cosmos DB
o AWS
o GCP
Version Control
• Proficient with Git.
• Standard branching and collaboration workflows.
Preferred Qualifications
Agentic AI
• Hands-on experience or deep conceptual understanding of Agentic AI frameworks, specifically:
o LangChain
o LangGraph
Web Frameworks
• Experience with FastAPI.
Cloud Data Warehousing
• Experience with:
o GCP BigQuery
o AWS Athena
FinOps Familiarity
• Basic understanding of cloud economics.
• Billing structures.
• FinOps framework principles.
Skills: Digital : Databricks ~ Data Build Tool
Experience Required: 8-10