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Freelance Databricks Data Engineer Jobs in Orlando, FL

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Senior Data Engineer

Orlando, FL · On-site

$98K - $134K/yr

... Databricks, Delta Lake, Snowflake, Scala, Python • Collaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business ...

Senior Data Engineer

Orlando, FL · On-site

$98K - $134K/yr

... Databricks, Delta Lake, Snowflake, Scala, Python • Collaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business ...

Data Solutions Engineer

Orlando, FL · On-site

$106K - $128K/yr

... Databricks, Apache Spark, Apache Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST ... Data analysis, data modeling, data architecture, and master data management • Medallion ...

Data Architect

Orlando, FL · On-site

$160K - $180K/yr

Collaborate cross-functionally with engineering, security, application development, and ... Utilize advanced analytics systems such as Power BI , Microsoft Fabric , Databricks , Snowflake ...

Data Quality Engineer Location: Orlando, FL (100% onsite) Type: Direct Hire Position Rate: $120K ... Experience or willingness to learn SparkSQL and Databricks. * Highly developed analytical, problem ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks) * Familiarity with DevOps ...

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Freelance Databricks Data Engineer information

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How much do freelance databricks data engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for freelance databricks data engineer in Orlando, FL is $44.54, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $57.69 per hour, depending on experience, location, and employer.

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What are the most commonly searched types of Databricks Data Engineer jobs in Orlando, FL?

The most popular types of Databricks Data Engineer jobs in Orlando, FL are:

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

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

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

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

Sr. Data Engineer (Databricks)

TurningPoint Healthcare Solutions LLC

Lake Mary, FL • On-site

$100K - $120K/yr

Full-time

Re-posted 7 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.