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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 ...

AssistRx

Senior Manger, Data Engineering

Maitland, FL · On-site

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 ...

AssistRx

Senior Manger, Data Engineering

Maitland, FL · On-site +1

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 ...

‎ConnectWise

Manager, Data Engineering

Tampa, FL · On-site +1

The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross ...

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 ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Florida

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 Jul 11, 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 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 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.

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.

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 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 July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,595 per year, or $34.9 per hour.
Manager Data Engineering

Manager Data Engineering

Norwegian Cruise Line Holdings Ltd.

Miami, FL • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Norwegian Cruise Line Holdings Ltd. is a leading global cruise company known for delivering unique guest experiences aboard their vessels. The Manager of Data Engineering will lead a team focused on enhancing data warehousing capabilities and maintaining legacy systems, ensuring alignment with business needs and project objectives.
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:
Required:
• Bachelor's Degree
• Field(s) Of Study: Business Management, Computer Science, Industrial Engineering, or related.
• 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 team members.
• Experience/exposure with Snowflake, dbt, Matillion and any ELT / ETL tools.
• 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.
Company:
Norwegian Cruise Line Holdings Ltd. Founded in 1966, the company is headquartered in Miami, USA, with a team of 10001+ employees. The company is currently Late Stage.

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