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Trainee Databricks Data Engineer Jobs in Jacksonville, FL

Pwc

Data Engineer - Senior Manager

Jacksonville, 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 ...

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Trainee Databricks Data Engineer information

See Jacksonville, FL salary details

$41.2K

$120.2K

$164.5K

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 Jacksonville, FL is $120,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 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 Jacksonville, FL?

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

What are popular job titles related to Trainee Databricks Data Engineer jobs in Jacksonville, FL?

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

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

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

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

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

Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in Jacksonville, FL as of September 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,191 per year, or $57.8 per hour.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Re-posted 7 days ago

Job description

: MAX CONFIRMED
Location: ONSITE- Charlotte/ Raleigh, NC
Duration: 6 months
Role: Sr Data Bricks Engineer
Descriptions:
Must Have Technical/Functional Skills
12+ years overall experience in data engineering or related fields.
3-5 years hands-on experience with Databricks and Spark.
Strong proficiency in SQL and data analysis techniques.
Experience with ETL processes, data modeling, and performance tuning.
Familiarity with Python or Scala for data engineering tasks.
Excellent problem-solving and communication skills.
Roles & Responsibilities
We are seeking a hands-on Sr. Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience in data engineering, ETL development, and production support, ensuring reliable, scalable, and high-performing data operations within Azure environment and can work in a fast-paced environment. Knowledge of insurance domain and Power BI is a plus but not mandatory.
Development
Design, develop, and deploy scalable ETL/ELT data pipelines using Apache Spark, PySpark, and Databricks.
Develop and optimize SQL queries for data transformation and analysis.
Collaborate with product owners, data architects and analysts to build data models, delta lake structures, and data workflows.
Collaborate with data analysts and business teams to deliver actionable insights.
Build job orchestration and monitoring solutions
Ensure data quality, performance, and reliability across workflows.
Develop and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.
Work with cloud-based data platforms (Azure preferred).
Required Skills & Experience:
10+ years overall experience in data engineering or related fields.
3-5 years hands-on experience with Databricks and Spark.
Strong proficiency in SQL and data analysis techniques.
Experience with ETL processes, data modeling, and performance tuning.
Familiarity with Python or Scala for data engineering tasks.
Excellent problem-solving and communication skills.
Nice-to-Have:
Knowledge of insurance industry data.
Skills: Digital : Python~Digital : Apache Spark~Digital : Databricks
Experience Required: 10 & Above, Project Code :

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