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Databricks Engineer Jobs in Orlando, FL (NOW HIRING)

2T Consulting

Azure Databricks Solution Architect

Sanford, FL · On-site

$57.25 - $74.50/hr

Job Summary We are seeking an Azure Databricks Solution Architect to lead the architecture, design ... Collaborate with business analysts, functional teams, and engineering teams to translate business ...

2T Consulting

Azure Databricks Solution Architect

Sanford, FL · On-site

$57.25 - $74.50/hr

Job Summary We are seeking an Azure Databricks Solution Architect to lead the architecture, design ... Collaborate with business analysts, functional teams, and engineering teams to translate business ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Orlando, FL

Databricks Engineer information

See Orlando, FL salary details

$55.5K

$104.2K

$189.5K

How much do databricks engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for databricks engineer in Orlando, FL is $104,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $123,700.00 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 are popular job titles related to Databricks Engineer jobs in Orlando, FL?

For Databricks Engineer jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Orlando, FL look for?

The top searched job categories for Databricks Engineer jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Databricks Engineer jobs?

Cities near Orlando, FL with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,210 per year, or $50.1 per hour.

Sr. Data Engineer (Databricks)

TurningPoint Healthcare Solutions LLC

Lake Mary, FL • On-site

$100K - $120K/yr

Full-time

Posted 19 days ago

Job description

Sr. Data Engineer (Databricks)
Who We Are:
TurningPoint Healthcare Solutions is a leader in advanced clinical and technology-enabled complex condition management. TurningPoint provides an innovative suite of specialty care management services and technologies that enable health plans and employers to improve the safety, quality, and affordability of healthcare. Through its platform and specialized team of clinical experts, TurningPoint works collaboratively with providers to deliver optimal care. TurningPoint offers condition-specific, quality-driven, value-based care management services that optimize care from diagnosis and discovery through recovery. TurningPoint's comprehensive and integrated suite of services enhances the support individuals need, at the time they need it most. Since launching in 2015, TurningPoint has provided support to more than 50 million people nationwide across numerous clinical specialties including musculoskeletal, pain management, cardiology, wound care, ear/nose/throat, and sleep. TurningPoint's model moves beyond denial-based care to holistic condition management that improves outcomes and reduces cost. TurningPoint is an independent organization, not owned or affiliated with a health plan or provider system.
Roles and Responsibilities:
  • Serve as a senior technical contributor within the Data Engineering team, providing hands-on development support, code review, troubleshooting, and mentorship to other engineers.
  • Contribute to the design and implementation of Databricks-based data solutions, including Lakehouse patterns, Delta Lake tables, medallion data models, ETL/ELT pipelines, workflow orchestration, and reusable data engineering components.
  • Build, optimize, and maintain production-grade data pipelines using Databricks, Python, PySpark, SQL, and related cloud data platform services.
  • Apply and help improve data engineering best practices, including coding standards, source control, CI/CD, automated testing, documentation, observability, data quality checks, and performance optimization.
  • Partner with business, analytics, product, and technology teams to load, curate, and operationalize large-scale datasets that support reporting, analytics, machine learning, and platform capabilities.
  • Support data platform initiatives via engineering expertise, solution delivery, reusable data assets, integration patterns, and practical implementation recommendations.
  • Participate in technical discovery and solution design for data initiatives, translating business requirements into effective Databricks implementation plans.
  • Share knowledge across the team by introducing relevant Databricks capabilities, engineering methods, and platform patterns that improve delivery speed, reliability, and scalability.

Education, Experience and Licensure:
  • Bachelor's degree or relevant work experience
  • 8+ years software development experience
  • Experience developing production software using Python
  • Experience working with REST API's
  • SQL database design experience
  • Hands-on experience designing, building, and operating production data pipelines in Databricks is required
  • Experience with PySpark, Delta Lake, Lakehouse architecture, data modeling, workflow orchestration, and performance tuning within Databricks
  • Experience with a Distributed Version Control System (e.g., git)
  • Experience writing and maintaining test suites (including unit tests)
  • A passion for thoroughness, execution and completion
  • Ability to communicate in a clear, articulate, team-friendly manner to all levels of an organization to present findings and recommendations to team members and senior management
  • Experience in summarizing analysis results using PowerPoint and explaining analysis results to senior management levels
  • Experience in working with virtual groups across the organization
  • Approachable, personable and team player comfortable working in an Agile environment
  • Experience in managing multiple initiatives in parallel

Preferred Skills:
  • Databricks certification
  • Experience with healthcare data
  • Experience with machine learning pipelines

TurningPoint Healthcare Solutions is an Equal Opportunity Employer.

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