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Manager Data Engineering Jobs in Florida (NOW HIRING)

Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

... engineering. Essential Duties and Responsibilities * Develop, maintain, and optimize data ... Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms ...

Data Engineer

Jacksonville, FL ยท On-site

$106K - $127K/yr

Education and Experience * โ€‚โ€‚โ€‚โ€‚โ€‚Bachelor's degree in healthcare management, data ... for data engineering and automation, such as SQL, Python, PowerShell, or C# ...

Data Engineer

Aventura, FL ยท On-site

$109K - $131K/yr

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

Data Engineer

Aventura, FL ยท On-site

$109K - $131K/yr

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

## Manager, Data ScienceApplyremote type: On-Sitelocations: Miami, FLtime type: Full timeposted on ... Serves as a business change agent leading process re-engineering activities/project.* Manages the ...

This individual will ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating ...

Data Lake Engineer

Miami, FL ยท On-site

$109K - $131K/yr

... engineering. Essential Duties and Responsibilities * Develop, maintain, and optimize data ... Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms ...

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

Data Engineer

Tampa, FL ยท On-site

$104K - $125K/yr

... data engineering solutions that support advanced analytics and modernize large-scale data ... Implement data governance, metadata management, data lineage, audit trails, and data quality ...

Data Engineer

Miami, FL ยท On-site

$109K - $131K/yr

... engineering. Essential Duties and Responsibilities * Develop, maintain, and optimize data ... Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms ...

Data Engineer

Doral, FL ยท On-site

$105K - $127K/yr

... engineering. Essential Duties and Responsibilities * Develop, maintain, and optimize data ... Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms ...

Senior Data Engineer

Miami, FL ยท 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 ...

Showing results 41-60

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 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 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 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:

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.

IT - Lead Consultant | Data Management | Data Architecture

Tampa, FL โ€ข On-site

Spruce Infotech
IT Servicesย โ€ขย 1 - 10 employees

Full-time

Re-posted 10 days ago


Job description

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Job title: Sr GCP VME Engineer
Work Location: Anywhere in US
Vendor Rate: XXX per hour
Minimum years of experience: 6+
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Job Description:
Seeking an experienced Data Architect to lead and shape our GenAI Insights team.
This role will focus on designing, implementing, and optimizing scalable data solutions across Azure and modern data platforms.
The Data Architect will oversee a team of Data Engineers, ensure best practices in data quality and governance, and drive insights delivery through advanced analytics and visualization tools.
Key Responsibilities:
Leadership & Strategy
โ€ข Lead and mentor Data Engineering teams, fostering a culture of collaboration, innovation, and continuous improvement.
โ€ข Define and own the overall data architecture vision, ensuring alignment with organizational goals and industry best practices.
โ€ข Partner with business leaders to translate strategic objectives into scalable data solutions.
Data Architecture & Engineering
โ€ข Design, build, and manage modern data platforms leveraging Azure Data Lake, Azure SQL Server, Databricks, Microsoft Fabric, and NoSQL databases.
โ€ข Develop and maintain scalable data pipelines to integrate data from multiple structured and unstructured sources.
โ€ข Establish and implement data quality engineering practices to ensure consistency, accuracy, and reliability across data assets.
โ€ข Drive adoption of data governance and security frameworks to protect and manage enterprise data.
โ€ข Knowledge of advanced analytics, machine learning, or AI-based solutions.
Analytics & Insights
โ€ข Enable data-driven decision making by designing solutions that deliver timely, trusted, and actionable insights.
โ€ข Collaborate with business intelligence teams to build Power BI dashboards and executive-level reporting.
โ€ข Partner with executive leadership to present insights in a clear, compelling, and strategic manner.
โ€ข Understanding of Generative AI tooling and the ability to integrate AI into generating insights for the data
Required Skills & Qualifications
Bachelor's degree in computer science, Information Systems, Data Engineering, or a related discipline.
5+ years of overall professional experience in data engineering, architecture, or analytics roles.
โ€ข Relevant data engineering certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer, Microsoft Fabric Analytics Engineer Associate)
โ€ข Proven experience leading and managing Data Engineering teams in enterprise environments.
โ€ข Strong expertise with SQL Server, Azure Data Lake, Databricks, and Microsoft Fabric.
โ€ข Hands-on experience with NoSQL databases (Cosmos DB, MongoDB, Cassandra, or equivalent).
โ€ข Demonstrated skills in data quality engineering, including profiling, validation, and monitoring of enterprise data.
โ€ข Proficiency in developing and deploying Power BI dashboards and enterprise reporting solutions.
โ€ข Demonstrated success in building data pipelines to integrate and transform data from multiple sources.
โ€ข Strong knowledge of Azure cloud services, data storage, security, and governance.
โ€ข Exceptional communication skills, with the ability to convey complex technical concepts to executive stakeholders.