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Manager Data Engineering Jobs (NOW HIRING)

Cargill

Manager, Data Engineering

Atlanta, GA · On-site

Job Purpose and Impact The Manager, Data Engineering job sets goals and objectives for the achievement of operational results for the team responsible for designing, building and maintaining robust ...

Skillable

Manager, Data Engineering

The Manager, Data Engineering, is responsible for turning data architecture vision into reliable, repeatable, and scalable data pipelines and data products as part of Skillable's enterprise data ...

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 ...

ConnectWise

OR · On-site

The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross ...

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 ...

Cargill

Manager, Data Engineering

Atlanta, GA

Job Purpose and Impact The Manager, Data Engineering job sets goals and objectives for the achievement of operational results for the team responsible for designing, building and maintaining robust ...

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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 Jul 27, 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, 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.

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.

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.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Manager - Data Engineering

Manager - Data Engineering

American Eagle Outfitters, Inc.

Pittsburgh, PA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

American Eagle Outfitters rating

5.6

Company rating: 5.6 out of 10

Based on 613 frontline employees who took The Breakroom Quiz

67th of 104 rated fashion retailers

Job description

Title:  Manager - Data Engineering

Reports To:  Director - Data Engineering

Location:  Pittsburgh, PA or New York, NY

American Eagle is a youth culture brand grounded in denim. Our purpose extends beyond making the best jeans-we embrace self expression, culture, optimism and connection. Through the brand platform Live Your Life, we empower our community to be who they want to be all while wearing the clothes that make them most confident.

Get to Know the Role:

We are seeking a results-driven Data Engineering Manager to lead the Consumer Data Engineering Team, specifically overseeing domains such as Customer, Digital/eCommerce, and Store Operations. You will lead a team of high-performing onshore engineers and offshore partners to build robust data products that drive operational efficiency. This role requires a blend of people leadership, project management, and deep domain expertise in retail operations to cultivate a sustainable, high-performance engineering culture.

What You'll Do:

  • Domain Leadership: Direct oversight of the Consumer engineering teams, ensuring technical roadmaps are aligned with business priorities like customer personalization, marketing attribution, and omnichannel engagement.
  • Team Management: Directly manage a team of Data Engineers, providing technical mentorship, performance management, and professional development.
  • Architectural Collaboration: Partner closely with the Sr. Data Architect to ensure all domain-specific pipelines align with enterprise-wide technical standards and the Medallion architecture blueprint.
  • Stakeholder Intake: Act as the primary technical point of contact for Consumer-side business leads, translating complex operational needs into actionable engineering requirements.
  • Strategic Engineering Culture: Establish and maintain best practices for code quality, documentation, and automated testing to ensure the long-term sustainability of the Consumer data ecosystem.
  • Product Delivery: Ensure the delivery of high-quality "Gold" layer data products within our GCP Medallion architecture.

What You Bring:

  • Experience: 8+ years in Data Engineering with at least 2+ years of formal people management or team lead experience.
  • Domain Expertise: Deep understanding of Customer Data (CRM, Loyalty, Customer 360), Digital/eCommerce (web/app clickstream), Marketing Analytics (attribution, campaign performance), and Store Operations.
  • GCP Technical Proficiency: Hands-on experience with Google BigQuery, Cloud Composer (Airflow), and building pipelines using SQL and Python.
  • Modern Modeling Knowledge: Familiarity with Dimensional Modeling (Star/Snowflake) and its application within a Medallion architecture (Bronze/Silver/Gold).
  • Strategic Mindset: Strong problem-solving and systems-thinking skills with a proven ability to balance short-term execution with long-term platform health.
  • Agile Methodology: Experience running high-velocity engineering sprints and managing a backlog of data product features.

Nice to Have:

  • Emerging Technology: Familiarity with or vision for integrating Generative AI into data engineering workflows (e.g., using LLMs for SQL generation, automated metadata documentation, or synthetic data creation).

Perks: Why You'll Love it Here

  • Generous employee discount
  • Summer Fridays
  • Casual dress code
  • Hybrid schedule
  • FOMO events (Exciting company-wide events)

PAY/BENEFITS INFORMATION:

  • Actual starting pay is determined by various factors, including but not limited to relevant experience and location.
  • Subject to eligibility requirements, associates may receive health care benefits (including medical, vision, and dental); wellness benefits; 401(k) retirement benefits; life and disability insurance; employee stock purchase program; paid time off; paid sick leave; and parental leave and benefits.
  • Paid Time Off, paid sick leave, and holiday pay vary by job level and type, job location, employment classification (part-time or full-time / exempt or non-exempt), and years of service. For additional information, please click HERE.
  • AEO may also provide discretionary bonuses and other incentives at its discretion.

#LI-CH1

Get to Know AEO
American Eagle Outfitters, Inc. (NYSE: AEO) is a leading global specialty retailer with a portfolio of beloved apparel brands including American Eagle, Aerie, OFFL/NE by Aerie, Todd Snyder and Unsubscribed. 
Rooted in optimism, inclusivity and authenticity, AEO's brands empower every customer to celebrate their unique personal style by offering casual, comfortable, timeless outfitting and high-quality products that are made to last. In addition to a robust e-commerce business, we operate stores in the United States, Canada and Mexico, with merchandise available in more than 30 countries through a global network of license partners. 
At AEO, we believe in the power of our people and our brands. Our Better Together culture creates a mutual desire to succeed-inspiring our community to excel, while driving future growth for the business and associates. Through experience, exposure and education we empower associates to build their unique career journey.
Inclusion, Diversity, Equity and Access at AEO
We remain committed to building an inclusive culture that is welcoming and fosters a sense of belonging for everyone. Please see more about our initiatives here.
AEO is an Equal Opportunity Employer and is committed to complying with all federal, state and local equal employment opportunity ("EEO") laws. AEO prohibits discrimination against associates and applicants for employment because of the individual's race or color, religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, disability, gender identity or expression, marital or partnership status, domestic violence or stalking victim status, genetic information or predisposing genetic characteristics, military or veteran status, or any other characteristic protected by law. This applies to all AEO activities, including, but not limited to, recruitment, hiring, compensation, assignment, training, promotion, performance evaluation, discipline and discharge. AEO also provides reasonable accommodation of religion and disability in accordance with applicable law.
Applications will be accepted until the Apply Before date (if applicable), but may be extended based on applicant volume.

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