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Manager Data Engineering Jobs (NOW HIRING)

Cox Automotive

Manager, Data Engineering

Brownsburg, IN · On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data pipelines, transformation platforms, and analytics infrastructure powering floor plan lending ...

Cox Automotive

Manager, Data Engineering

Fishers, IN · On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data pipelines, transformation platforms, and analytics infrastructure powering floor plan lending ...

Cox Automotive

Manager, Data Engineering

Lawrence, IN · On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data pipelines, transformation platforms, and analytics infrastructure powering floor plan lending ...

IGT

Manager, Data Engineering

Chicago, IL · On-site

$117K - $141K/yr

Previous experience leading or managing data engineers, technical teams, or major data delivery workstreams. Strong hands-on experience with Databricks, Apache Spark, PySpark, and SQL. Experience ...

Progressive Gaming

Manager, Data Engineering

Chicago, IL · On-site

$117K - $141K/yr

Previous experience leading or managing data engineers, technical teams, or major data delivery workstreams. Strong hands-on experience with Databricks, Apache Spark, PySpark, and SQL. Experience ...

IGT

Manager, Data Engineering

Las Vegas, NV · On-site

$110K - $132K/yr

Previous experience leading or managing data engineers, technical teams, or major data delivery workstreams. Strong hands-on experience with Databricks, Apache Spark, PySpark, and SQL. Experience ...

Progressive Gaming

Manager, Data Engineering

Las Vegas, NV

$110K - $132K/yr

Previous experience leading or managing data engineers, technical teams, or major data delivery workstreams. Strong hands-on experience with Databricks, Apache Spark, PySpark, and SQL. Experience ...

Airwallex

Manager, Data Engineering

San Francisco, CA · On-site

$200K - $335K/yr

What you'll do We're looking for a Data Engineering Manager to lead a team within our Strategic Data Org and help scale the data foundations that power Airwallex's products, analytics, and ...

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All JobsData Engineering JobsManager Data Engineering Jobs

Manager Data Engineering information

See salary details

$31K

$97.1K

$172K

How much do manager data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data engineering in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 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.
More about Manager Data Engineering jobs
What cities are hiring for Manager Data Engineering jobs? Cities with the most Manager Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Manager Data Engineering jobs? States with the most job openings for Manager Data Engineering jobs include:
What job categories do people searching Manager Data Engineering jobs look for? The top searched job categories for Manager Data Engineering jobs are:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Sr. Manager, Data Engineering

Park Place Technologies

Highland Heights, OH • On-site

Full-time

Re-posted 16 days ago

Park Place Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

88th of 223 rated it services

Job description

Sr. Manager, Data Engineering
The Sr. Manager, Data Engineering is a key senior leader responsible for the strategy, architecture, and execution of the enterprise data engineering function. This leader will build and scale a high-performing team, drive strategy and design of the data engineering framework for reporting needs, facilitates strategy around the data warehouse, partners with other IT leaders to provide availability of data for AI/ML initiatives, assists with business intelligence, and core operational systems for seamless reporting. Reporting to senior technology leadership, this role serves as a strategic partner to IT, Analytics, and business stakeholders to ensure data is reliable, governed [in partnership with master data management], and accessible at scale.
This is a high-impact opportunity for a technically grounded, people-first leader who thrives in a fast-paced environment and is energized by building scalable systems during a period of significant growth, including M&A integration and cloud transformation.
Responsibilities:
  • Leadership & Strategy
    • Define and drive the enterprise data engineering roadmap, aligned to business and technology goals
    • Build, lead, and mentor a multi-disciplinary team of data engineers (10-15) and product owner(s) (1-2)
    • Partner with the CIO, Analytics, AI, and business leadership to prioritize and deliver data capabilities
    • Establish engineering standards, best practices, and an operational excellence framework across the data organization
    • Champion a culture of data quality, engineering rigor, and continuous improvement
  • Platform & Architecture
    • Architect and oversee scalable data pipelines, data lakes, warehouses, and real-time streaming infrastructure
    • Lead cloud-native data platform strategy and adoption across Azure, AWS, or GCP environments
    • Own the selection, implementation, and lifecycle management of data engineering tools and platforms
    • Ensure data platform reliability, performance, and cost efficiency at scale
    • Partner with Platform Development Architects and leadership on integration patterns across key enterprise systems, including ERP, ServiceNow, and supply chain platforms
  • Data Governance & Quality
    • Own and evolve the enterprise data governance framework, including data lineage, cataloging, and access controls
    • Define and enforce data quality standards, measurement, and remediation processes
    • Partner with Security and Legal to ensure compliance with data privacy regulations and policies
    • In partnership with the Director of Development and AI, drive adoption of clean, governed, AI-ready data as a core organizational asset.
  • Delivery & Operations
    • Manage team delivery across multiple concurrent programs, including integration workstreams from M&A activity
    • Lead data engineering support for AI/ML platform enablement
    • Oversee vendor relationships, contracts, and budget for data infrastructure and tooling
    • Establish SLAs, incident management, and monitoring for data platform operations

Basic Qualifications:
  • 10+ years of progressive experience in data engineering, data architecture, or a related technical discipline
  • 5+ years of people leadership experience, including managing and developing senior engineers and managers; Communication is a critical facet for this role with an ability to manage up, to the side or down.
  • Proven track record of architecting and delivering enterprise-scale data platforms in production
  • Deep expertise in modern data stack tooling (e.g., Azure SQL, Azure Fabric, Kafka, Snowflake, Databricks, or equivalents)
  • Strong cloud data platform experience on Azure, AWS, or GCP
  • Demonstrated experience in data governance programs and data quality frameworks
  • Ability to translate complex business requirements into pragmatic technical strategy and roadmaps
  • Strong executive communication skills; comfortable presenting to C-suite and board-level audiences
  • Experience operating in dynamic, growth-stage environments, including M&A integration preferred
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's preferred

Preferred Qualifications:
  • Experience in IT services, managed services, or enterprise technology industries
  • Familiarity with ERP, ServiceNow, or supply chain data ecosystems
  • Experience leading data strategy and integration through M&A events
  • Exposure to data mesh, data product, or federated governance models
  • Relevant certifications in cloud data platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate)
  • A strategic mindset paired with a bias for action and hands-on delivery
  • Passion for building reliable, scalable, and well-governed data systems
  • A collaborative and inclusive leadership style with the ability to influence across levels
  • Intellectual curiosity and a continuous improvement mindset
  • High standards for data quality and a commitment to engineering excellence

Travel:
  • 15%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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