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Contract Databricks Developer Jobs in Orlando, FL

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ... BigQuery, Databricks) * Familiarity with DevOps practices: CI/CD, containerization (Docker ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ... BigQuery, Databricks) * Familiarity with DevOps practices: CI/CD, containerization (Docker ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ... BigQuery, Databricks) * Familiarity with DevOps practices: CI/CD, containerization (Docker ...

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ... BigQuery, Databricks) * Familiarity with DevOps practices: CI/CD, containerization (Docker ...

Product Manager

Orlando, FL · On-site

$50 - $75/hr

Contract to Hire, Remote Compensation: $50.00 - $70.00/hr Product Manager, Revenue Marketing ... You'll partner closely with Marketing, Engineering, Architecture, and Product leaders to define ...

Contract Databricks Developer information

See Orlando, FL salary details

$19

$57

$74

How much do contract databricks developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for contract databricks developer in Orlando, FL is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $51.63 and $63.51 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

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

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

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

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

What are popular job titles related to Contract Databricks Developer jobs in Orlando, FL?

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

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

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

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

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

Infographic showing various Contract Databricks Developer job openings in Orlando, FL as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.

Senior Data Analyst - AI & Dermatology Claims Analytics

adcs

Maitland, FL

$80K - $101K/yr

Full-time

Posted 28 days ago


Job description

SENIOR DATA ANALYST – AI & DERMATOLOGY CLAIMS ANALYTICS

Comprehensive Position Description

Reporting Structure
  • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A.
  • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership.
Position Summary
  • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets.
  • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance.
Primary Responsibilities
  • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions.
  • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities.
  • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies.
  • Build executive dashboards and KPI reporting.
  • Support budgeting, forecasting and strategic planning initiatives.
  • Partner with managed care on payer contract performance analytics.
Technical Requirements
  • Advanced SQL
  • Python
  • Power BI
  • Microsoft Fabric
  • Azure Data Services
  • Databricks or Snowflake
  • Healthcare data warehousing
  • Machine learning and predictive analytics
Healthcare Domain Expertise
  • Dermatology claims analytics
  • Revenue cycle management
  • Medical coding
  • Payer reimbursement methodologies
  • Provider productivity analytics
  • Value-based care and population health
AI Competencies
  • Prompt engineering
  • Generative AI assisted reporting
  • Predictive analytics
  • Anomaly detection
  • Natural language processing
  • Model validation and governance
Key Performance Indicators
  • Reimbursement improvement opportunities identified
  • Dashboard adoption
  • Forecast accuracy
  • Reduction in manual reporting effort
  • Denial trend visibility
  • Executive stakeholder satisfaction
Qualifications
  • Bachelor degree in quantitative discipline required.
  • Masters degree preferred.
  • 5+ years healthcare analytics experience preferred.
  • Experience with large healthcare claims datasets required.