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Manager Data Engineering Jobs in Florida (NOW HIRING)

Iru

Manager, Data Engineering

Miami, FL

Manage, mentor, and develop a nimble team of data engineers * Build a culture of ownership, quality, speed, and continuous improvement * Create clarity around priorities, ship cadence, and how the ...

DPR Construction

Data Engineering Lead- Finance

Orlando, FL

$106.90K - $128.40K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and ...

Lorven Technologies

Project Manager Data & AI

Miami, FL · On-site

$49.50 - $66.75/hr

Collaborate with stakeholders, data engineers, data scientists, and business teams * Define project scope, timelines, milestones, and deliverables * Track progress, manage risks/issues, and ensure ...

DPR Construction

Data Engineering Lead- Finance

Tampa, FL

$108.20K - $129.90K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and ...

Paysafe

Director, Data Engineering

Jacksonville, FL · On-site

Champion engineering rigor through Data Ops , automation, CI/CD for data workloads, metadata management, and observability. * Drive improvements in data quality, reliability, delivery consistency ...

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Manager Data Engineering information

See Florida salary details

$23.2K

$72.6K

$128.5K

How much do manager data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for manager data engineering in Florida is $72,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $93,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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 Manager Data Engineering jobs in Florida? For Manager Data Engineering jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Florida look for? The top searched job categories for Manager Data Engineering jobs in Florida are:
What cities in Florida are hiring for Manager Data Engineering jobs? Cities in Florida with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Florida as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $72,595 per year, or $34.9 per hour.

Manager Data Engineering

Norwegian Cruise Line Holdings Ltd

Miami, FL

Full-time

Posted 7 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.

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 and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy systems.

POSITION RESPONSIBILITIES

  • Data Warehousing and Legacy System Management: 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. Also has good exposure on dbt Matillion and any other ELT / ETL tools.
  • Team Leadership: Direct and mentor a team of data developers and engineers. Ensure team alignment with project goals and company objectives.
  • Lead architecture decisions and able to manage vendor partners.
  • Work with Product Owners, DevOps and Prioritize activities and manage delivery through Agile methodologies.
  • Provide transparency through reporting on backlog, data quality metrics, and platform health.
  • Project Execution: Manage the execution of data engineering projects ensuring they meet defined objectives. Collaborate with cross-functional teams for integrated project delivery.
  • Technical Guidance: Provide technical expertise in data warehousing technologies and legacy systems. Stay updated on industry trends to guide the team effectively
  • Stakeholder Engagement: Work closely with the Senior Manager and other stakeholders to align data engineering efforts with business needs. Communicate project progress and challenges effectively.
  • Quality Assurance: 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

DEGREE TYPE:

Bachelor's Degree

FIELD(S) OF STUDY:

Business Management, Computer Science, Industrial Engineering, or related.

EXPERIENCE

Minimum of 7 years' experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions. 2+ years of experience managing team. Experience in data engineering with a focus 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 a team members. Also, has experience/exposure with Snowflake, dbt, Matillion and any ELT / ETL tools.

COMPETENCIES & SKILLS

Proven experience in data warehousing technologies, legacy system management, strong communication, and stakeholder engagement abilities. Strong listening, presentation, and interpersonal skills. Excellent analytical, problem-solving, verbal, and written communication skills. Able to prioritize and execute tasks in a high-pressure, fast-paced environment. Excellent decision-making abilities under uncertainty and ability to manage multiple priorities and deadlines for a team. Ability to drive results independently. Innovation, Process Improvement, Creativity, and Clean-Sheet Reinvention. Proven success with collaboration between cross functional teams. Demonstrated understanding of agile methodologies, QA practices and user experience, with strong digital & technical skills. Consensus and diplomacy skills with ability to handle varying differences in opinions. Experienced with collaboration tools (Jira, Confluence, Lucid Chart;). Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake. Experience with traditional on-prem virtual and physical infrastructure, as well as cloud-based environments, preferably AWS. Excellent understanding of Windows, and Linux based infrastructure. Working knowledge of various tools, open-source technologies, and cloud services.

This role involves balancing technical project delivery with strategic business alignment, managing team dynamics, and integrating modern data warehousing practices with existing legacy systems. The Manager has autonomy in project management and team leadership, with critical decisions escalated to the Senior Manager of Data Engineering. Challenges include adapting to evolving data technologies, ensuring project efficiency, and maintaining legacy systems without disrupting current operations. Regular communication with the department senior leadership, team members, and other internal departments is essential for effective project execution and team collaboration.

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.

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