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Manager Data Engineering Jobs (NOW HIRING)

Charles Schwab

Manager, Data Engineering

Austin, TX · On-site

Collaborate with vendor teams to manage GCP-based data operations, drive automation initiatives, and enable DevOps practices using tools such as Cloud Build, Cloud Deployment Manager, and Terraform.

Rsli

Manager, Data Engineering

Philadelphia, PA

$127.44K - $170.12K/yr

Job Responsibilities and Requirements The Manager of Data Engineering is responsible for leading a high-performing and inclusive team of data engineers within the Information Services department.

hackerone

Manager, Data Engineering

Austin, TX · On-site

Manager, Data Engineering Remote Location: Boston, MA; Austin, TX; or Washington, DC Position Summary HackerOne is seeking a Manager to lead Applied Data Engineering on our DataOne team. You will ...

Iru

Manager, Data Engineering

Miami, FL

Manage, mentor, and develop a nimble team of data engineers * Build a culture of ownership, quality, speed, and continuous improvement * Create clarity around priorities, ship cadence, and how the ...

Charles Schwab Inc.

Manager, Data Engineering

Austin, TX · On-site

$174.53K - $187.10K/yr

Collaborate with vendor teams to manage GCP-based data operations, drive automation initiatives, and enable DevOps practices using tools such as Cloud Build, Cloud Deployment Manager, and Terraform.

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$31K

$97.1K

$172K

How much do manager data engineering jobs pay per year?

As of May 29, 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 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.

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 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.

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.

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 May 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Manager, Data Engineering

Charles Schwab

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

Job Duties: Contribute to the overall system design, architecture, security, scalability, reliability, and performance of Google Cloud Platform (GCP) data solutions. Leverage GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage and support scalable data pipelines and analytics platforms. Collaborate with vendor teams to manage GCP-based data operations, drive automation initiatives, and enable DevOps practices using tools such as Cloud Build, Cloud Deployment Manager, and Terraform. Support the build and deployment pipelines on GCP, and when necessary, diagnose and resolve production support issues leveraging GCP monitoring and logging tools (e.g., Cloud Monitoring, Cloud Logging). Maintain data integration workflows and mappings using Informatica Intelligent Cloud Services (IICS) and Informatica Data Management Cloud (IDMC). Ensure data accuracy, integrity, and accessibility across cloud and on-premises environments. Implement and manage change management processes using industry-standard tools (e.g., Jira, Control-M, ServiceNow), ensuring safe, compliant, and efficient deployment of changes across cloud and data platforms. Participate in change advisory boards, conduct impact analysis, and document change activities. Develop automation scripts and data engineering solutions using Python to streamline data processing, enable analytics, and support operational excellence. Maintain and enhance Python-based frameworks for ETL, monitoring, and reporting. Recommend or innovate changes to processes and tools at the team level based on industry standards, GCP best practices, and emerging cloud patterns. Identify and communicate cross-team dependencies within cloud-based architectures. Communicate individual and project-level development statuses, issues, risks, and concerns to technical leadership and management. Create documentation and training related to GCP, IICS, change management tools, and Python technology stacks and standards within the assigned team. Coach and mentor junior engineers in cloud engineering, data integration, automation techniques, and new technologies, enabling others to succeed. Support on-call duties as required. Collaborate with business and technology partners, including offshore development teams, to deliver robust cloud solutions.

What you have

Job Requirements: Requires Bachelor’s in Computer Science, Applied Computer Science, or a related field and 60 months of progressive, post-Bachelor’s experience in a related occupation. . Requires 60 months of experience involving the following: Informatica Intelligent Cloud Service (IICS), Informatica PowerCenter 9.X; Cloud Data Platforms include Google Big Query, GCS bucket and Data Proc; Autosys and Control M; Oracle, DB2, MS SQL Server; Shell Scripting; Toad, Nexus Query Chameleon, GitHub, Splunk, Putty; Python Scripting; Tableau and Power BI; and Change Management tools, Remedy, Service Now, Jira. 

We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab’s internal approach to workplace flexibility).


What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

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