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Databricks Developer Jobs in Florida (NOW HIRING)

NAVA Software Solutions

Azure Developer - Remote

Lakeland, FL · On-site +1

$51 - $63.25/hr

Azure Developer Location: (100% remote) Duration: 12 months Azure Development - (50%) Front End - ... Development of Databricks (Spark), Kafka workloads * Experience with JSON, AVRO, Parquet Delta ...

OneImaging

Data Engineer

Miami, FL

$120K - $180K/yr

Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ... Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines. * Knowledge of ...

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All JobsDatabricks Developer JobsDatabricks Developer Jobs in Florida

Databricks Developer information

See Florida salary details

$15

$45

$59

How much do databricks developer jobs pay per hour?

As of Jul 22, 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.

Is Databricks a high paying job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

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.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

What is a Databricks Developer job?

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 jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
What are the most commonly searched types of Databricks Developer jobs in Florida? The most popular types of Databricks Developer jobs in Florida are:
What are popular job titles related to Databricks Developer jobs in Florida? For Databricks Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Florida look for? The top searched job categories for Databricks Developer jobs in Florida are:
What cities in Florida are hiring for Databricks Developer jobs? Cities in Florida with the most Databricks Developer job openings:
Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Florida as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $95,579 per year, or $46 per hour.
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Re-posted 19 days ago

Job description

: -
MSP Owner: Rob Finton
Location: Atlanta, GA (3 days work from customer location)
Duration: 6 months
skill id: 10787109
Skills: 10+ years experience required
Digital : Google Data Engineering
Responsibilities:
• Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and validate data by running various data tools in the Data Environment.
• Supports the standardization, customization, and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
• Creates data policy and develop interfaces and retention models which requires synthesizing or anonymizing data.
• Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
• Works closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
• Design, implement, and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve Big Data in a fast and safe mode, curate data that can be used in BI reporting, analysis, machine learning models and ad-hoc data requests.
• Build data pipelines that clean, transform, and aggregate data from disparate sources.
• Engages with business teams to gather requirements and design data solutions.
• Mentors team of more Junior Data Engineers.
• Collaborates across multiple projects to provide data engineering expertise across teams.
• Analyzes most relevant insights and shares with leadership to provide strategic recommendations for the business
• Lead a team of data engineers and act as a key senior contributor to a data engineering project.
Skills and Experience:
• 7+ years of overall IT experience
• 5+ years of experience in a data engineering/ETL role with a track record of manipulating, processing, and extracting value from large datasets
• 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or Cloud platforms e.g. AWS, GCP, etc.
• 3+ years building, testing, and optimizing data ingestion pipelines, architectures, and data sets with Tibco, IBM or others.
• Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
• High-velocity high-volume stream processing with Apache Kafka and Spark Streaming.
• Strong SQL skills with ability to write intermediate complexity queries.
• ETL experience with PySpark, Spark SQL , IBM Data Stage or similar.
• Agile Scrum, Kanban or SAFe experience.
Skills Desired
• Databricks, Python (and/or Scala) and PySpark/Scala-Spark.
• Database solutions like Databricks, Teradata, Mainframe, DB2 or BigQuery.
• BI Solutions like Spotfire, OAC, Tableau or PowerBI
• Azure, AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue.
• Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series.
• Strong SQL skills with ability to write intermediate complexity queries
• Experience with GIT code versioning software
Essential Skills: Data Engineer
Experience Required: 10 & Above, Project Code :

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