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Data Engineering Jobs in Florida (NOW HIRING)

Manager Data Engineering

Miami, FL ยท On-site

$120 - $150/hr

Manager of Data Engineering The Manager of Data Engineering is tasked with leading a team dedicated to data warehousing and supporting legacy integrations and data applications. This role focuses on ...

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 ...

Data Engineering Manager

Miami, FL ยท On-site

$120 - $160/hr

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 ...

JOB SUMMARY The Manager of Data Engineering is tasked with leading a team dedicated to data warehousing and supporting legacy integrations and data applications. This role focuses on the development ...

We are looking for a Data Engineer Intern to support our analytics and data platform initiatives. In this role, you will help build and maintain data pipelines, improve data quality, and work closely ...

We are looking for a Data Engineer Intern to support our analytics and data platform initiatives. In this role, you will help build and maintain data pipelines, improve data quality, and work closely ...

Data Engineering Lead

Orlando, FL ยท On-site

$120 - $180/hr

Establish and enforce technical standards for data engineering practices, including coding, testing, documentation, and deployment to promote consistency, maintainability, and quality across all data ...

Manager of Data Engineering

Tampa, FL ยท On-site

$105K - $150K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Data Engineering Manager will oversee the credit union's data engineering team, ensuring the design, evaluation, and testing of ...

Manager Data Engineering

Miami, FL ยท On-site

$100 - $130/hr

Manager Data Engineering page is loaded## Manager Data Engineeringlocations: Miami, Floridatime type: Full timeposted on: Posted 3 Days Agojob requisition id: JR01187**GROW YOUR CAREER WITH US** At ...

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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 Sep 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.

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 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 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.

Manager Data Engineering

NCL Bahamas Ltd.

Miami, FL โ€ข On-site

$120 - $150/hr

Other

Posted 13 days ago


Job description

Manager of Data Engineering

The Manager of Data Engineering is tasked with leading a team dedicated to data warehousing and supporting legacy integrations and data applications. This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy systems.

Responsibilities
  • Lead the development and maintenance of data warehousing solutions.
  • Manage legacy integrations and data application enhancements.
  • Experience with SaaS based solutions and hands on experience on Snowflake, Oracle, SQL server, dbt, Matillion and other ELT/ETL tools.
  • Direct and mentor a team of data developers and engineers, ensuring alignment with project goals.
  • Lead architecture decisions and manage vendor partners.
  • Work with Product Owners, DevOps and prioritize activities, managing delivery through Agile methodologies.
  • Provide transparency through reporting on backlog, data quality metrics, and platform health.
  • Manage execution of data engineering projects ensuring they meet defined objectives.
  • Collaborate with cross-functional teams for integrated project delivery.
  • Provide technical expertise in data warehousing technologies and legacy systems, staying updated on industry trends.
  • Engage stakeholders, align data engineering efforts with business needs.
  • Communicate project progress and challenges effectively.
  • Ensure adherence to best practices in data governance and security.
  • Maintain high standards of quality in data engineering outputs.
  • Perform other job-related functions as assigned.
Qualifications
  • Bachelorโ€™s Degree in Business Management, Computer Science, Industrial Engineering, or related field.
  • Minimum 7 yearsโ€™ experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions.
  • 2+ years of experience managing a team.
  • Experience in data engineering focused on data warehousing and legacy systems.
  • Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell.
  • Experience with Agile methods & tools like JIRA.
  • Experience leading and coaching team members.
Competencies & Skills
  • Proven experience in data warehousing technologies, legacy system management.
  • Strong communication, stakeholder engagement, listening, presentation, interpersonal skills.
  • Excellent analytical, problem-solving, verbal, and written communication skills.
  • Ability to prioritize and execute tasks in a high-pressure, fast-paced environment.
  • Excellent decision-making under uncertainty, manage multiple priorities and deadlines.
  • Ability to drive results independently.
  • Innovative, process improvement, creativity, and clean-sheet reinvention.
  • Collaboration with cross-functional teams.
  • Strong digital & technical skills, understanding of agile methodologies, QA practices, user experience.
  • Consensus and diplomacy skills to handle differences in opinions.
  • Experience with collaboration tools (Jira, Confluence, Lucid Chart).
  • Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake, and experience with on-prem virtual/physical infrastructure and cloud-based environments, preferably AWS.
  • Excellent understanding of Windows and Linux infrastructure; knowledge of open-source technologies and cloud services.
Equal Opportunity Employer

Norwegian Cruise Line Holdingโ€™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.

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