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Manager Data Engineering Jobs in Miami, FL (NOW HIRING)

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Enforce strict data quality standards and metadata management practices, diagnosing and resolving data corruption or synchronization anomalies swiftly. * Partner with infrastructure engineers, cloud ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... in data architecture development and data modeling - Implementing data pipeline and data ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... managers, and other engineering teams to gather requirements and define data workflows. • Document data pipelines, system architecture, and processes for internal and external stakeholders.

Data Engineer

Miami, FL

$120K - $180K/yr

Work cross-functionally with data scientists, product managers, and other engineering teams to gather requirements and define data workflows. * Document data pipelines, system architecture, and ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

... Engineering, Mathematics * 6+ years of experience of IT platform implementation in a highly technical and analytical role. * 2 to 4 years of recent professional experience with Data Management ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Enforce strict data quality standards and metadata management practices, diagnosing and resolving data corruption or synchronization anomalies swiftly. * Partner with infrastructure engineers, cloud ...

Data Engineer

Doral, FL

$105K - $127K/yr

Enforce strict data quality standards and metadata management practices, diagnosing and resolving data corruption or synchronization anomalies swiftly. * Partner with infrastructure engineers, cloud ...

A Bachelor's degree in Computer Science, Data Engineering, or a related field -OR- A minimum of 5 ... Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication ...

Bachelor's degree in Computer Science, Data Engineering, or a related field, or five (5) years of ... Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... Manage and extend our Fivetran connector configurations; implement custom connectors where no off ... What You Bring • 5+ years of experience in data engineering or a closely related role. • Strong ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

... give engineering and business stakeholders real-time confidence in platform health. Azure Cloud Infrastructure ▸ Manage and optimise Azure Data Lake Storage Gen2 (ADLS) -- folder structures ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

A career built on building zero defect homes, cost management, and adherence to schedules. Your Responsibilities on the Team * Design, build, and operationalize data engineering solutions for Lennar ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Managing multi-repository dbt projects and configuring dbt Cloud environments. * Creating, documenting, and optimizing advanced dbt models and custom macros. * AI-Assisted Engineering & Data Tools:

Showing results 41-60

Manager Data Engineering information

See Miami, FL salary details

$29.6K

$92.9K

$164.5K

How much do manager data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for manager data engineering in Miami, FL is $92,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $120,000.00 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?

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 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.

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 are the most commonly searched types of Data Engineering jobs in Miami, FL? The most popular types of Data Engineering jobs in Miami, FL are:
What are popular job titles related to Manager Data Engineering jobs in Miami, FL? For Manager Data Engineering jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Miami, FL look for? The top searched job categories for Manager Data Engineering jobs in Miami, FL are:
Infographic showing various Manager Data Engineering job openings in Miami, FL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $92,913 per year, or $44.7 per hour.

Full-Stack Data Engineer with Security Clearance

Prescient Edge

Doral, FL • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

Prescient Edge is seeking a Full-Stack Data Engineer to support a Federal Government client. Please note that the availability of this position is contingent upon contract award. Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes: * A competitive salary with performance bonus opportunities. * Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A substantial retirement plan with no vesting schedule. * Career development opportunities, including on-the-job training, tuition reimbursement, and networking. * A positive work environment where employees are respected, supported, and engaged. Description: * Proposed personnel possess the knowledge and capability to develop, maintain, and optimize an outward-facing data catalog that integrates geospatial and research data layers. * Optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. * Must be proficient in full-stack development, database architecture, and API integration to enable seamless search, filtering, and rendering of structured research products. * Must be proficient in Data Lakes splat forms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud based data engineering. * Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required. * Shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with a Data Catalog. * Shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform. * Shall implement and manage data governance workflows, ensuring integration with Open Lineage, Unity Catalog, and GIS metadata standards. * Shall submit the Metadata & Data Governance Compliance Report, detailing lineage tracking, classification policies, and security enhancements. * Shall develop and maintain the data pipeline infrastructure, ensuring scalable ingestion, transformation, and integration of structured and unstructured datasets within the cloud-based CIP platform. * Shall optimize data storage strategies, implementing efficient query execution, indexing, and retrieval techniques for high-volume mission datasets. * Shall integrate APIs for secure data sharing across operational environments, ensuring controlled access and compliance with security frameworks. * Shall submit the Data Pipeline Optimization Report, detailing improvements in ingestion speed, storage efficiency, and API integrations. Job Requirements Experience: * Must have demonstrated experience in developing interactive web-based data portals, implementing API driven data exchange, and integrating geospatial data layers into web applications. * Must have experience working with Databricks, ESRI ArcGIS Feature Services, Open Lineage, and metadata management solutions is required. * Must have demonstrated experience in: Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI based GIS platforms, Unity Catalog, and cloud-based databases. * Implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources. * Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products. * Optimizing database queries and indexing strategies for large-scale geospatial and structured datasets. * Desirable but not required certifications include Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics - Specialty, or ESRI Web GIS Developer Certification. Education: * Bachelor's degree in computer science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack development, and metadata-driven data cataloging. Security clearance: * TS/SCI Location: * Doral, Florida. (USSOUTHCOM Headquarters) Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.

Prescient Edge logo

About Prescient Edge

Sourced by ZipRecruiter

Prescient Edge is a prominent name in the global security industry, based out of McLean, VA, US. Established with the primary mission of harnessing science and technology for safety and security purposes, the company specializes in providing a wide range of products and services. This includes research and development, consulting, global operations support, intelligence evaluation, and advanced data solutions. These offerings make Prescient Edge an integral factor in national defense and commercial innovations.

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

McLean, VA, US

Year founded

2008

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