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Manager Data Engineering Jobs in Florida (NOW HIRING)

NCL Bahamas Ltd.

Manager Data Engineering

Miami, FL · On-site

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 ...

NCL Bahamas Ltd.

Manager Data Engineering

Miami, FL

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 ...

Ci

Data Engineering Manager

Miami, FL · On-site

Establish engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring. Oversee sprint planning, backlog ...

NBCUniversal

Data Engineering Manager

Miami, FL · On-site

$98K - $117K/yr

The Data Engineering Manager will be a hands-on data engineering role supporting Universal+, Hayu, and the wider NBCUniversal International Networks & Direct-to-Consumer business, with a particular ...

New

NBCUniversal

Data Engineering Manager

Miami, FL · On-site

$98K - $117K/yr

The Data Engineering Manager will be a hands-on data engineering role supporting Universal+, Hayu, and the wider NBCUniversal International Networks & Direct-to-Consumer business, with a particular ...

New

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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 Sep 10, 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 roles and responsibilities of a manager data engineering?

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 are the key skills and qualifications needed to thrive as a manager data engineering?

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 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 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 August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $72,595 per year, or $34.9 per hour.

Manager Data Engineering

Miami, FL • On-site

NCL Bahamas Ltd.
See more jobs at NCL Bahamas Ltd.external

Other

Posted 16 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
  • Bachelor’s Degree in Business Management, Computer Science, Industrial Engineering, or related field.
  • Minimum 7 years’ 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 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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