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Manager Data Engineering Jobs in Florida (NOW HIRING)

This role is responsible for driving enterprise reporting, advancing data engineering practices ... assets Manage vendor relationships and tool optimization across BI and data platforms Business ...

Data Engineer - Manager

Orlando, FL · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

Data Engineer - Manager

Tampa, FL · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... and managing data warehouses for performance and scalability. • Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing. Preferred • Strong ...

Data Engineer

Aventura, FL

$109K - $131K/yr

... and managing data warehouses for performance and scalability. · Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing. Preferred · Strong ...

Data Engineering Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

With over four decades of experience in managing the systems and workings of global enterprises, we ... We focus on adopting a data-first approach to engineering and value-stream management, enabling ...

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering. * Verifiable work experience working with data structures, database management, distributed ...

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering. * Verifiable work experience working with data structures, database management, distributed ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest ... Management environment preferred. * Prior experience implementing real-time data streaming ...

Lead Data Engineer

Lakeland, FL

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest ... Management environment preferred. * Prior experience implementing real-time data streaming ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions * Drive data architecture discussions ...

... of data management, governance, and engineering capabilities across program components. - Coordinate with Program Manager, Data Science Technical Lead, and Government stakeholders to align data ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions * Drive data architecture discussions ...

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

Ability to build data models and manage data warehouses. * 3 years of related data engineering/IT experience. * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala ...

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Showing results 1-20

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 15, 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 cities in Florida are hiring for Manager Data Engineering jobs? Cities in Florida with the most Manager Data Engineering job openings:
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 Analytics & BI

Manager, Data Analytics & BI

Red Lobster

Orlando, FL • On-site

Other

Posted 15 days ago


Red Lobster rating

5.9

Company rating: 5.9 out of 10

Based on 261 frontline employees who took The Breakroom Quiz

45th of 86 rated restaurants


Job description

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner while remaining hands-on in delivering impactful data solutions. This role operates in a player-coach capacity, with an expected allocation of approximately 80% leadership, stakeholder engagement, delivery accountability, and team management and 20% hands-on contribution. The individual should be comfortable flexing into deeper hands-on involvement as business needs evolve, particularly in periods of transformation, critical delivery, or team capacity constraints.

This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the business. This role is not intended for candidates seeking a primarily hands-on development position, nor for leaders who are fully removed from technical execution. This leader will oversee the design, development, and delivery of analytics and reporting solutions leveraging platforms such as Informatica IDMC, MicroStrategy, Power BI, and Oracle databases, while mentoring and developing a multidisciplinary team of architects and engineers.

ESSENTIAL/PRIMARY DUTIES, FUNCTIONS, AND RESPONSIBILITIES Leadership & Team Development Lead, mentor, and grow a high-performing analytics and BI team across reporting, data engineering, and visualization disciplines Operate as a player-coach, balancing strategic leadership with hands-on contribution to critical initiatives Establish team standards, best practices, and governance across analytics, reporting, and data pipelines Foster a culture of accountability, continuous improvement, and business partnership Analytics & Reporting Delivery Oversee the development and delivery of enterprise reporting and dashboards using Power BI and MicroStrategy Standardize metrics, definitions, and reporting frameworks to ensure consistency and trust in data Ensure reporting solutions are scalable, accurate, and aligned to business KPIs Drive adoption of self-service analytics capabilities across the organization Data Engineering & Architecture Provide technical leadership in building and optimizing data pipelines and integrations using Informatica IDMC Oversee data modeling, transformation, and data quality processes within an Oracle-based data environment Identify opportunities to drive efficiency through automation, standardization, and reusable data assets Partner with architecture and IT teams to evolve modern data platforms and cloud strategies Ensure strong data governance, lineage, and performance optimization practices Strategy & Execution Define and execute a roadmap for analytics modernization, including tools, platforms, and operating model Align analytics initiatives with business priorities and ROI outcomes Drive efficiencies through automation, standardization, and reusable data assets Manage vendor relationships and tool optimization across BI and data platforms Business Partnership & Strategic Influence Lead the evolution of the analytics function from request-driven reporting to proactive business enablement, identifying opportunities, surfacing insights, and influencing decisions ahead of demand Act as a strategic thought partner to business leaders, leveraging data to challenge assumptions, prioritize initiatives, and drive measurable outcomes Establish a culture of ownership and curiosity, where the team actively seeks out "low-hanging fruit" and high-impact opportunities rather than waiting for intake JOB REQUIREMENTS (SKILLS & EXPERIENCE) 7+ years of experience in data analytics, BI reporting, or data engineering , with 2-4+ years in a leadership role Proven experience in a player-coach capacity , balancing leadership and hands-on technical delivery Strong expertise with: Power BI (data modeling, DAX, dashboard development) MicroStrategy (enterprise reporting and semantic layer design) Informatica Intelligent Data Management Cloud (IDMC) Oracle databases (SQL, performance tuning, data structures) Familiarity with Python for data integration, automation, and analytics use cases, including API-driven workflows and potential expansion into advanced analytics Familiarity with designing and evolving modern data architectures (such as lakehouse) and implementing near real-time data flows to support scalable, flexible analytics and advanced data use cases Understanding data architecture and engineering practices that support AI/ML Experience building and scaling data and analytics teams Strong understanding of data warehousing, ETL/ELT processes, and data architecture principles Ability to translate complex data into clear business insights and executive-level storytelling PREFERRED QUALIFICATIONS Experience in restaurant, retail, hospitality, or multi-unit operations environments Exposure to cloud data platforms (e.g., Snowflake, Azure, AWS) Familiarity with real-time or near-real-time data processing Experience implementing data governance frameworks and data quality tools Background supporting finance, operations, or customer analytics use cases LEADERSHIP COMPETENCIES Strong business decision-making mindset with ability to balance speed, quality, and cost Excellent communication and stakeholder management skills Ability to operate effectively in fast-paced, evolving environments Demonstrated success building trusted partnerships across business and technology teams Apply.


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