ZipRecruiter

Log In

1

Data Engineering Jobs in Florida (NOW HIRING)

‎ConnectWise

Manager, Data Engineering

Tampa, FL · On-site +1

The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross ...

WellDyne

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.

WELLDYNE

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.

Slide Insurance

Data Engineer

Tampa, FL

$108K - $129K/yr

You'll partner with engineering and business teams to deliver reliable data for reporting, analytics, and operational decision-making. What You'll Do Build Data Pipelines * Build and maintain ETL/ELT ...

next page

Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Florida

Data Engineering information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data engineering jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data engineering in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:
What are popular job titles related to Data Engineering jobs in Florida? For Data Engineering jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Florida look for? The top searched job categories for Data Engineering jobs in Florida are:
What cities in Florida are hiring for Data Engineering jobs? Cities in Florida with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Specialist - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Tampa, FL • On-site

Full-time

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

Job description

Job Title: Big data developer
Work Location: Tampa,FL
Job Description:
  • Mandatory Certificate Databricks Certified Developer Apache Spark 30
  • Skills Python PySpark Spark SQL Hadoop Hive
  • Responsibilities
  • Ensure effective Design Development Validation and Support activities in line with client needs and architectural requirements
  • Ensure continual knowledge management Adherence to the organizational guidelines and processes
  • As part of the delivery team your primary role would be to ensure effective Design Development Validation and Support activities to assure that our clients are satisfied with the high levels of service in the technology domain
  • You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements
  • You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers
  • You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey
  • Requirements
  • A good professional with at least 6-9 yrs of experience in Bigdata PySpark HIVE Hadoop PLSQL
  • Good knowledge of AWS and Snowflake
  • Good understanding of CICD and system design
  • Candidate with prior experience working on technologies on Fund transfer AML knowledge will be an added advantage
  • Excellent written and oral communications kills
  • Selfstarter with quick learning abilities
  • Multitask and should be able to work under stringent deadlines
  • Ability to understand and work on various internal systems
  • Ability to work with multiple stakeholders
  • Education
  • Bachelors Or Masters degree in Computer Science Engineering or related field

Apply