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Trainee Databricks Data Engineer Jobs in Orlando, FL

... data integration with platforms such as Databricks or Microsoft Fabric • Proficiency with agile methodologies and SDLC tools including Azure DevOps, Git for version control, and implementing CI/CD ...

Overview ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering ... Strong experience leading technical implementations using Databricks, SQL, Power BI, cloud data ...

Cyber Data Protection Manager

Lake Mary, FL · On-site

$97K - $131K/yr

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ... M365 security, Databricks, Snowflake) * 3+ years of professional experience developing data ...

Showing results 41-60

Trainee Databricks Data Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do trainee databricks data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for trainee databricks data engineer in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

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

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

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

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

Senior Data Analyst - AI & Dermatology Claims Analytics

adcs

Maitland, FL

$80K - $101K/yr

Full-time

Re-posted 5 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.