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Remote 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 ...

YO AI Labs

Analytics Expert - Remote

Miami, FL · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... Build or refine dashboards using Power BI, Tableau, Looker, Qlik, Sigma, or Databricks . * Check ...

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

This is a remote position with occasional travel. Preference given to East Coast candidates. Key ... Experience in Databricks, including DAB and Materialized Views. * 3+ years designing semantic ...

Phsorg

Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY. Hybrid ... Databricks and Modern Data Engineering Lead implementation and scaling of Databricks as the ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... preferably Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Booz Allen Hamilton, Inc.

Data Lake Engineer

Doral, FL

$99K - $225K/yr

Remote Work: No Job Number: R0245982 Location: Doral,FL,US Share job via: Share Data Lake Engineer ... Experience in Databricks platform administration, including workspace configuration, Unity Catalog ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Databricks. * Robust knowledge of cloud storage aspects (ADLS gen2) * Expertise in cloud security ...

L3HHCM20

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages

L3HHCM20

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages

Data Meaning

MicroStrategy Architect

Boca Raton, FL · Remote

US - Remote Position type: temporary - TDB Position Summary We are looking for a highly skilled ... The ideal candidate will work closely with business stakeholders, data engineering teams, and ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · Hybrid

$77K - $176K/yr

Remote Work: No Job Number: R0247170 Location: Tampa,FL,US Share job via: Share Data Engineer ... Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data ...

L3HHCM20

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages

L3HHCM20

Principal, Data Engineer

Tallahassee, FL · On-site +1

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages

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All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Florida

Remote Databricks Developer information

What is a remote Databricks developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.

How does a remote Databricks developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What are the key skills and qualifications needed to thrive as a remote Databricks developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

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 Remote Databricks Developer jobs in Florida?

For Remote Databricks Developer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Developer jobs in Florida look for?

The top searched job categories for Remote Databricks Developer jobs in Florida are:

What cities in Florida are hiring for Remote Databricks Developer jobs?

Cities in Florida with the most Remote Databricks Developer job openings:

Remote Databricks Developer jobs near you
Infographic showing various Remote Databricks Developer job openings in Florida as of August 2026, with employment types broken down into 70% Full Time, 25% Contract, and 5% Nights. Highlights an 100% Remote job distribution.

Senior Data Platform Engineer (Python & Databricks)

Codelitt

Miami, FL • On-site, Remote

$117K - $158K/yr

Contractor

Re-posted yesterday

Job description

About Codelitt
At Codelitt, we are more than a product-development company. We are creators, innovators, and problem solvers.
We partner with companies around the world to design and build meaningful digital products, modernize complex systems, and solve challenging technical problems. Our globally distributed team values technical excellence, ownership, proactive communication, and collaboration.
About the Role
We are looking for a Senior Data Platform Engineer to join a high-impact engagement with one of our partners, a global leader in wealth-management technology.
This is a remote position from Latam.
You will help build and evolve a financial data platform developed on top of Databricks and used by major enterprise clients. The platform supports the ingestion, transformation, modeling, and delivery of complex financial data.
This is primarily a backend and data-platform position. You will work across Python services, APIs, data pipelines, and data models while collaborating closely with an established engineering team in New York.
The ideal candidate has substantial hands-on Databricks experience and can become productive in a complex data environment. You should be comfortable taking ownership of well-defined areas of work while gradually building a broader understanding of the platform.
We process our payment in US dollars, however you can receive it in your local currency.
What You'll Do
Data Platform Development
  • Build and maintain components of a large-scale financial data platform.
  • Develop reliable data pipelines for ingesting, transforming, and delivering financial data.
  • Design data models that support enterprise reporting, analytics, and downstream integrations.
  • Improve the performance, reliability, maintainability, and observability of existing data workflows.
  • Troubleshoot complex issues across data-processing and application layers.
Python and API Development
  • Design, build, and maintain production-grade applications and services using Python.
  • Develop well-structured APIs for accessing and managing data-platform capabilities.
  • Write clean, testable, maintainable, and well-documented code.
  • Participate in architectural and technical-design discussions.
  • Review code and help maintain a high engineering standard across the team.
Databricks Engineering
  • Build and operate production workloads using Databricks.
  • Help improve the organization and execution of Databricks-based data workflows.
  • Work with large datasets and complex transformation requirements.
  • Apply Databricks best practices to improve scalability, reliability, and developer productivity.
Collaboration and Ownership
  • Work directly with engineers and technical leaders from both Codelitt and our partner.
  • Collaborate with a hybrid engineering team based in New York.
  • Break complex requirements into clear and manageable technical tasks.
  • Communicate progress, risks, dependencies, and blockers proactively.
  • Take ownership of assigned initiatives from technical discovery through delivery.
  • Contribute to documentation and internal knowledge sharing.
Required Qualifications
  • Five or more years of professional software-engineering experience.
  • Strong professional experience developing production applications with Python.
  • Hands-on experience building production workloads with Databricks.
  • Experience designing and maintaining data pipelines.
  • Strong understanding of data modeling and data-processing concepts.
  • Experience designing or consuming APIs in distributed systems.
  • Experience working with relational databases and SQL.
  • Strong automated-testing and software-quality practices.
  • Experience working with version control, code review, and CI/CD workflows.
  • Ability to understand and contribute to an established, complex codebase.
  • Strong written and verbal English communication skills.
  • Ability to work independently while collaborating closely with a broader engineering team.
Preferred Qualifications
  • Experience building data platforms for financial-services or other data-intensive industries.
  • Experience with cloud-based data architectures.
  • Familiarity with infrastructure-as-code tools such as Terraform.
  • Experience improving the observability and operational reliability of data pipelines.
  • Familiarity with modern data governance, access-control, and data-quality practices.
  • Experience working in an enterprise environment with strict security and compliance requirements.
  • Front-end experience with React or another modern JavaScript framework.

Front-end development and infrastructure work may occasionally be required, but they are not the primary focus of this position. Deep Kubernetes expertise is not required.
Who You Are
Databricks Experienced
You have used Databricks in a real production environment and understand how to build, maintain, and troubleshoot data workloads on the platform.
Python Focused
You can design and implement reliable Python services and APIs, not simply scripts or notebooks.
Data Oriented
You understand how data moves through a platform and can reason about ingestion, transformation, modeling, quality, performance, and downstream consumption.
Proactive
You communicate before a problem becomes a surprise. When blocked, you raise the issue, explain its impact, and help identify a path forward.
Comfortable with Complexity
You can navigate a mature platform with significant internal context. You know how to ask effective questions, document what you learn, and gradually expand your ownership.
Collaborative
You enjoy working with other engineers, sharing knowledge, reviewing designs, and contributing to a healthy engineering culture.
What We Offer
  • Generous paid-time-off policy.
  • Paid sick leave.
  • Paid parental leave.
  • Opportunities to work on challenging products with experienced international teams.
  • A collaborative environment that values technical quality and personal ownership.
  • Regular team-building activities throughout the year.

Codelitt is a close-knit global team that moves quickly, communicates openly, and enjoys solving difficult problems together.
If you are an experienced Python engineer with strong Databricks knowledge and an interest in building enterprise data platforms, we would love to hear from you.
Please note: We are not currently interested in working with external recruiters or staffing agencies.

Apply