1

Data Engineering Jobs in Florida (NOW HIRING)

The Data Engineering Lead will design, build, and scale our enterprise data pipelines and platforms. This role is ideal for someone who thrives in a hands-on technical environment and is passionate ...

Data Engineering team leadership . Lead, mentor, and develop a team of data engineers supporting reporting, analytics, data science, AI, and data quality initiatives. Plan and manage delivery of data ...

The Senior Manager, Data Engineering leads a team of data engineers responsible for designing, building, and operating the scalable data pipelines, architectures, and platforms that power AssistRx ...

The Senior Manager, Data Engineering leads a team of data engineers responsible for designing, building, and operating the scalable data pipelines, architectures, and platforms that power AssistRx ...

Data Engineering Lead- Finance

Tampa, FL · On-site

$108K - $129K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

The Senior Manager, Data Engineering leads a team of data engineers responsible for designing, building, and operating the scalable data pipelines, architectures, and platforms that power AssistRx ...

Data Engineering Lead- Finance

Orlando, FL

$106K - $128K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

next page

Showing results 1-20

Data Engineering information

See Florida salary details

$34.4K

$123.3K

$182K

How much do data engineering jobs pay per year?

As of Aug 17, 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.

What is data engineering?

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.

What does a data engineer do?

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 skills and qualifications are needed to thrive as a data engineer?

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.

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 need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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:

Infographic showing various Data Engineering job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Data Engineering Lead

Margaritaville at Sea

Orlando, FL • On-site

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Responsibilities:

The Data Engineering Lead will design, build, and scale our enterprise data pipelines and platforms. This role is ideal for someone who thrives in a hands-on technical environment and is passionate about creating reliable, accessible, and high-performance data systems. As a leader in our data organization, you will set technical standards, guide architectural decisions, and ensure our data infrastructure supports both analytics and operational needs across the business. 

Essential Functions: 

  • Design and develop scalable data pipelines: The Data Engineering Lead will be responsible for building and maintaining robust data pipelines that support both real-time and batch processing. These pipelines will serve as the backbone of the company’s data infrastructure, enabling seamless data flow across systems and ensuring that analytics and operational teams have access to timely, accurate information. 

  • Lead the architecture and implementation of the enterprise data platform: This role involves setting the technical direction for the data platform, including selecting appropriate technologies, designing scalable architecture, and overseeing implementation. The Data Engineering Lead will ensure the platform is secure, high-performing, and adaptable to evolving business needs. 

  • Establish and enforce technical standards for data engineering practices: The successful candidate will define and uphold best practices for coding, testing, documentation, and deployment within the data engineering team. By creating a strong foundation of standards, this role will promote consistency, maintainability, and quality across all data-related projects. 

  • Ensure data reliability and accessibility: A key function of this role is to implement monitoring and alerting systems that proactively identify data issues. The Data Engineering Lead will also develop frameworks for data quality and governance, ensuring that stakeholders can trust and easily access the data they need. 

  • Collaborate with analytics, product, and engineering teams: This role requires close partnership with cross-functional teams to understand their data needs and deliver tailored solutions. The Data Engineering Lead will translate business requirements into technical specifications and ensure that data products support strategic decision-making and operational efficiency. 

Qualifications: 

  • Minimum of 7 years of experience in data engineering, with at least 2 years in a leadership or team lead role. 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (preferred). 

Experience: 

  • Proven expertise in SQL and Python for data manipulation and pipeline development. 

  • Hands-on experience with ETL/ELT tools and cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure. 

  • Strong understanding of data modeling, API development, and integration patterns for scalable data architecture. 

  • Familiarity with CI/CD pipelines, version control systems (e.g., Git), and workflow automation for data engineering processes. 

Knowledge, Skills, and Abilities: 

  • Exceptional problem-solving skills with a keen attention to detail. 

  • Ability to lead and mentor engineering teams, fostering collaboration and technical excellence. 

  • Strong communication skills to effectively work across cross-functional teams and translate business needs into technical solutions. 

  • Capacity to manage multiple priorities in a fast-paced environment while maintaining high standards of quality and reliability. 

In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns. 

Physical Demands: Must be able to remain in a stationary position at a desk and/or computer for extended periods of time. 

Travel:No travel 

Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential. 

This position is classified as “in-person,” which means the physical office in Orlando. 

Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience. 

At Margaritaville at Sea, your total rewards package is much more than your base salary. We  provide comprehensive and innovative benefits to meet your needs, including: 

Health Benefits: 

  • Cost-effective medical, dental and vision plans 

  • Employee Assistance Program and other mental health resources 

  • Additional programs include company paid term life insurance and disability coverage 

Financial Benefits: 

  • 401(k) plan that includes a company match 

Paid Time Off 

  • Holidays – All full-time and part-time with benefits employees receive days off for 10 company-wide holidays, plus 2 additional floating holidays to be taken at the employee’s discretion. 

  • Vacation Time – All full-time employees at the below the Director level start with 15 days/year; Director and above level have Discretionary Time Off, which for Directors is generally 15 days and for VPs and above 21 days. Part-time with benefits employees receive time off based on the number of hours they work.  

Other Benefits 

  • Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends 

Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a fast growing company that offers opportunities for advancement. 

In addition to other duties/functions, this position requires full commitment and support for promoting an ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns. 

Margaritaville at Sea is an equal employment opportunity employer and all qualified applicants will receive consideration for employment on the basis of sex, race, color, sex, sexual orientation,  gender identity, genetic information, national origin, religion, age, protected veteran status, disability status, marital status or any other classification protected by applicable local, state, federal, and/or international law.