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Trainee Databricks Data Engineer Jobs in Wesley Chapel, FL

Data Engineer - Databricks

Tampa, FL · On-site

$100 - $130/hr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine ...

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine ...

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine ...

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

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

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

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Azure Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Required : • Hands-on experience with data engineering tools and technologies including Python, SQL, Postgres, MongoDB, PySpark, Databricks, and Snowflake. • Design, develop, and optimize end-to ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Experience in Databricks, including DAB and Materialized Views. * 3+ years designing semantic ... for data engineering, including pipeline construction, transformation logic, and automation ...

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Experience with Microsoft Fabric components as well as Databricks * Familiarity with Azure Data ...

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Experience with Microsoft Fabric components as well as Databricks * Familiarity with Azure Data ...

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Fabric and Databricks experience preferred)Experience developing ETL/ELT processes and data ...

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

Working with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview ... Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement An active TS/SCI ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

New

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with distributed data scripting, and computing tools including Databricks, Spark, AWS ...

Senior Data Engineer

Tampa, FL

$100K - $136K/yr

Experience with modern data platforms and technologies such as Databricks, Microsoft Fabric, Azure ... Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a ...

Mid Data Engineer

Tampa, FL · On-site

$61K - $141K/yr

Experience with distributed data scripting, and computing tools including Databricks, Spark, AWS ... Experience with Agile engineering practices * Possession of excellent verbal and written ...

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Showing results 1-20

Trainee Databricks Data Engineer information

See Wesley Chapel, FL salary details

$38.7K

$112.9K

$154.5K

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

As of Aug 24, 2026, the average yearly pay for trainee databricks data engineer in Wesley Chapel, FL is $112,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $119,600.00 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 popular job titles related to Trainee Databricks Data Engineer jobs in Wesley Chapel, FL?

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

What job categories do people searching Trainee Databricks Data Engineer jobs in Wesley Chapel, FL look for?

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

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

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

Infographic showing various Trainee Databricks Data Engineer job openings in Wesley Chapel, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $112,875 per year, or $54.3 per hour.

Data Engineer - Databricks

Fintech Brand

Tampa, FL • On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision‑making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.

Key Responsibilities

Project Responsibility: End-to-end data pipelines and integrations

  • Advanced SQL optimization and complex query design
  • Kafka streaming applications and connector development
  • Databricks workflow development with medallion architecture
  • Data governance implementation and compliance
  • Data security and privacy best practices
  • Apache NiFi pipeline development for invoice and PO processing
  • Integration with purpose‑built data stores (Druid, MongoDB, OpenSearch, Postgres)
  • Build and maintain end‑to‑end ML pipelines for training, deployment, and monitoring of models.
  • Design and optimize data architectures for large‑scale ML workloads
  • Explore and implement LLM‑based solutions, RAG architectures, and generative AI for business use cases.
Soft Skills
  • Cross‑functional collaboration with product and engineering teams
  • Analytical thinking for complex data problems
  • Process improvement and efficiency focus
  • Quality mindset for data accuracy and reliability
  • Vendor Management: Direct communication with data platform vendors
  • Evaluates vendor tools for specific data use cases
  • Provides technical feedback on vendor product roadmaps
  • Coordinates with vendors for data integration projects
Qualifications

Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.

5+ years in data engineering; 2+ years applying ML in production.

Benefits
  • Hybrid Work
  • Employer Matched 401K
  • Company Paid Medical Insurance Option for Employee and Dependent Children
  • Company Paid Dental Insurance for Employee
  • Company Paid Vision Insurance for Employee
  • Company Paid Long and Short‑Term Disability
  • Company Paid Life and AD&D Insurance
  • 18 Paid Vacation Days a Year
  • Six Paid Holidays
  • Employee Recognition Programs
  • Holiday Bonus
  • Incentive Compensation
  • Community Outreach Opportunities
  • Business Casual Dress Code

Fintech is a Drug‑Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy‑related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E‑Verify.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.

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