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Manager Data Engineering Jobs in Florida (NOW HIRING)

... closely with data engineering BI and product teams for end-to-end delivery Strong stakeholder ... CRM marketing tools Salesforce Adobe etc. preferred Skills Mandatory Skills : Azure Analysis ...

Data Engineering Architect

Tampa, FL · On-site

$100 - $140/hr

Domain|Telecom|Network Inventory Planning & Management Technical Skills 4 Overview The Infosys ... We focus on adopting a data-first approach to engineering and value-stream management, enabling ...

New

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... 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 ...

Manager, Data Science

Miami, FL · On-site

$110 - $140/hr

## 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 ...

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 ...

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 · On-site

$110 - $170/hr

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

New

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Serves as a business change agent leading process re-engineering activities/project. * Manages the ...

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and ... Serves as a business change agent leading process re-engineering activities/project. * Manages the ...

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 ...

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

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 Aug 21, 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 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.

Data Operations Technical Lead with Security Clearance

Maximus Inc

Tampa, FL • On-site

Contractor

Medical, Life, Retirement, PTO

Re-posted 24 days ago


Maximus rating

6.8

Company rating: 6.8 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

295th of 495 rated business services


Job description

Description & Requirements We are seeking a highly experienced Data Operations Technical Lead to support DOW, responsible for delivering the foundational data infrastructure that transforms enterprise data into a strategic asset and enables advanced analytics and AI across warfighting functions. The ideal candidate will lead enterprise data operations within a highly secure, distributed, multi-cloud environment, ensuring scalable, reliable, and mission-ready data capabilities that support real-time decision-making in complex operational settings. This role is onsite in Tampa, FL and requires an active TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS082, T4, Band 7 Job-Specific Essential Duties and Responsibilities: Enterprise Data Operations Leadership - Serve as the Data Operations Technical Lead (Hub) supporting enterprise development and digital transformation initiatives. - Lead delivery of data management, governance, and engineering capabilities across program components. - Coordinate with Program Manager, Data Science Technical Lead, and Government stakeholders to align data strategy with mission priorities. Data Engineering & Infrastructure - Design, build, and maintain scalable, resilient data pipelines and platforms across hybrid and multi-cloud environments. - Enable ingestion, integration, and processing of large-scale structured and unstructured data. - Ensure data availability across NIPRNet, SIPRNet, and other security enclaves, including DIL (Disconnected/Intermittent/Low-bandwidth) environments. - Implement Extract, Transform, and Load processes and automated pipelines for batch and real-time analytics. Data Management & Governance - Develop and implement enterprise data management frameworks aligned to program policies and Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable (VAULTIS) principles. - Establish processes for data quality, lineage, metadata, and ownership across decentralized data domains. - Treat data as a product, supporting domain ownership and data product lifecycle management. - Enable secure data sharing solutions for interoperability across program and partner organizations. Platform & Technology Enablement - Operate within information environment leveraging: - Cloud + on-prem infrastructure - Technologies such as Kubernetes, Docker, Spark, Kafka, Snowflake, Redshift - Support integration with analytics, artificial intelligence (AI)/Machine Learning (ML), and ML operations platforms. - Enable Continuous Integration/Continuous Delivery (CI/CD) and DevSecOps practices for data systems. Operational & Mission Support - Translate operational requirements into data engineering solutions supporting warfighter decision-making. - Support near real-time analytics capabilities for operational environments. - Ensure systems are optimized for mission-critical reliability, performance, and security compliance. Security & Compliance - Ensure all data operations comply with DoD, and cybersecurity policies. - Support Risk Management Framework (RMF), ATO processes, and continuous monitoring. - Maintain a proactive security posture aligned with enterprise AI and data initiatives. Job-Specific Minimum Requirements: - Bachelor's degree in Computer Science, Data Science, Information Systems, or a related technical discipline - 8+ years of experience managing digital/data projects supporting DoD Enterprise customers - An active TS/SCI clearance is required. - Must be located in one of the following areas: Tampa, FL, Fayetteville, NC, San Diego, CA, VA Beach, VA, Pensacola, FL OR Lejeune, NC. - Proven experience leading data operations, engineering, or platform teams in Federal/DoD environments - Data pipelines (ETL/ELT), data lakes/warehouses - Distributed processing (Spark/Kafka or equivalent) - Cloud platforms (AWS, Azure, or GovCloud environments) - SQL, Python, or similar programming languages Preferred Skills and Qualifications: - Master's degree in a technical or analytics-related field - Specialized certifications: Cloud (AWS, Azure), Data Engineering, DevSecOps /Agile - Familiarity with the following: - Data-as-a-product models and domain architectures - AI/ML data pipelines and MLOps - DevSecOps and CI/CD pipelines - Experience operating in multi-classification environments (NIPR/SIPR/JWICS). - Experience supporting OCONUS operations or global mission partners. #techjobs #clearance #veteransPage Minimum Requirements TCS082, T4, Band 7 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at . Minimum Salary $ 160,000.00 Maximum Salary $ 185,000.00 *

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