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Data Engineering Jobs in Florida (NOW HIRING)

... data engineering BI and product teams for end-to-end delivery Strong stakeholder communication and requirement elicitation skills Knowledge of CRM marketing tools Salesforce Adobe etc. preferred ...

Lead Data Engineer

Lakeland, FL

$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.

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.

Lead Data Engineer

Jacksonville, FL · On-site

$104K - $125K/yr

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual ...

New

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

... engineering, setting standards for code quality, pipeline design, data modeling, and testing across the team. • Lead technical planning for data engineering initiatives, breaking work into well ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

ClifyX is a company seeking a Specialist in Data Engineering. The role involves extensive experience with ECS Openshift architecture and AbInitio technology, focusing on data extraction ...

Data Lake Engineer

Miami, FL · On-site

$109K - $131K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Lead Data Architect

Boca Raton, FL · On-site +1

$190/hr

The position will work closely with the client's engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition ...

Data Engineer II

Jacksonville, FL · On-site

$104K - $125K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and ... Follow established engineering standards, development practices, documentation requirements, and ...

Data Lake Engineer

Miami, FL · On-site

$109K - $131K/yr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

Showing results 21-40

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.

Full-time

Re-posted 27 days ago


Job description

GROW YOUR CAREER WITH US
At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we're continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!
APPLY ONLINE
If you're interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.

POSITION RESPONSIBILITIES:

  • Lead engineering execution and ensure high-quality technical delivery aligned with business objectives.

  • Provide technical leadership, mentorship, and hands-on guidance to engineers and technical teams.

  • Demonstrate a strong engineering background with proven leadership experience in driving complex technical initiatives.

  • Guide complex technical solutions and review architecture and design in collaboration with Solution Architects.

  • Assess technical feasibility of backlog items and actively support sprint planning and estimation.

  • Establish and enforce engineering standards, coding best practices, security controls, governance requirements, and regulatory compliance (e.g., SOX where applicable).

  • Oversee code quality through design reviews, peer reviews, and automated validation processes.

  • Good understanding on CI/CD pipelines to enable automated build, testing, and deployment processes.

  • Drive source control best practices using GitHub, including branching strategies, pull request governance, and code review workflows.

  • Experience working in agile, product-based engineering teams with strong collaboration across cross-functional stakeholders.

  • Coordinate technical deliverables with external vendor teams when required.

  • Monitor technical risks, proactively identify issues, and ensure timely resolution to maintain operational stability.

  • Promote continuous improvement in engineering processes, platform performance, and overall reliability.

  • Demonstrate experience with SaaS-based solutions and hands-on expertise in Snowflake, Oracle, and SQL Server.

  • Possess strong exposure to dbt, Matillion, and other ELT/ETL tools.

QUALIFICATIONS:
DEGREE TYPE:
Bachelor's Degree.

FIELD(S) OF STUDY:

Bachelor's degree in business management, computer science, industrial engineering, or other related field of study; or any combination of relevant work experience and education.

EXPERIENCE:

7+ years of experience building modern data warehouse and cloud-based data solutions, including at least 2 years of team management experience. The ideal candidate has strong understanding in data modeling, advanced SQL, and experience working in agile environments. Hands-on experience with Snowflake, dbt, Matillion, and other ELT/ETL tools is required, along with the ability to drive high-quality technical delivery.

COMPETENCIES & SKILLS:

The ideal candidate brings strong technical expertise in modern data warehousing and cloud data platforms, with hands-on experience in Snowflake, dbt, Matillion, and ELT/ETL solutions. They demonstrate proven engineering leadership, driving architectural decisions and ensuring high-quality technical delivery aligned with business objectives. In addition, they possess strong stakeholder management, strategic planning, risk management, and cross-functional collaboration skills, enabling alignment between technical solutions and organizational goals. With a focus on innovation and continuous improvement, they foster scalable, secure, and performance-optimized data ecosystems within Agile, product-driven environments.

ABOUT NCLH
Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line, Oceania Cruises and Regent Seven Seas Cruises brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.
LEARN MORE ABOUT OUR COMPANY:
At a Glance
Brand Overview
Norwegian Cruise Line
Oceania Cruises
Regent Seven Seas Cruises

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EQUAL OPPORTUNITY EMPLOYER
It is Norwegian Cruise Line Holding's policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.