1

Manager Databricks Data Engineer Jobs in Jacksonville, FL

Data Engineer - Senior Manager

Jacksonville, FL · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer - Manager

Jacksonville, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

Data Engineer - Senior Associate

Jacksonville, FL · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

GenAI Python Systems Engineer-Manager

Jacksonville, FL · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with ... Resource Manager, Terraform - Building and deploying DevOps pipelines with cloud services ...

GenAI Python Systems Engineer -Senior Manager

Jacksonville, FL · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured ... and managing data warehouses and data lakes - Implementing IAM roles and policies for cloud ...

next page

Showing results 1-20

Manager Databricks Data Engineer information

See Jacksonville, FL salary details

$41.2K

$120.2K

$164.5K

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

As of Aug 19, 2026, the average yearly pay for manager 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 Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

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 Manager Databricks Data Engineer jobs in Jacksonville, FL?

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

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

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

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

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

Infographic showing various Manager Databricks Data Engineer job openings in Jacksonville, FL as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote 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

This job post has expired today. Applications are no longer accepted.


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 :