Data Engineering Manager Jobs

Data Engineering Manager jobs are open across fintech, healthtech, e-commerce, and enterprise software, from senior individual contributor to director and VP, with specializations in cloud infrastructure, real-time pipelines, and platform engineering. Find a role that fits from the openings below and apply directly.

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Overview

Open roles847+
Top stateCalifornia
Top employerAmazon
Top citySan Francisco, CA
Work type43% Hybrid
Top industryTechnology

Showing 5 of 847+ Data Engineering Manager jobs

Data Engineering Manager
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Data Engineering Manager
TikTok USDS Joint Venture
Seattle, Washington
Data Science & Analytics
Data Engineering
Technical Product & Program Management
Data Science
Technical Program Management
$416k/yr
On-Site
Bachelor's

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Director of Technology & Data Engineering
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Added 2d ago
Director of Technology & Data Engineering
Momentous
Park City, Utah
Business Operations
Program Management
Project Management
Hybrid
11-50

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Agenic Data Engineering Developer
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Agenic Data Engineering Developer
Deloitte
Dallas, Texas
Backend Engineering
Full-stack Engineering
Software Engineering
$79k - $131k/yr
Bachelor's degree
10,000+

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Agenic Data Engineering Developer
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Added 2d ago
Agenic Data Engineering Developer
Deloitte
Rosslyn, Virginia
Full-stack Engineering
Software Engineering
Technical Program Management
$83k - $163k/yr
Bachelor's degree
10,000+

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Director of Engineering, Data
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Added 2d ago
Director of Engineering, Data
Allara
New York, New York
Cloud & DevOps
Executive Leadership & C-Suite
Project & Program Management
Technical Program Management
$220k - $250k/yr
Hybrid

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Top Cities Hiring Data Engineering Managers

Explore data engineering manager openings in the cities hiring most right now.

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Data Engineering Manager Job Market

Who's Hiring

  • Amazon130
  • Meta18
  • LTM Limited18
  • JPMorganChase11
  • Tesla10

Top Industries Hiring

  • Technology & Software59
  • Retail10
  • E-Commerce & Online Marketplaces8
  • Consulting & Professional Services8
  • Electronics & Hardware4

What Employers Look For

The qualifications that appear most often in data engineering manager jobs.

  • 5 or more years of experience in data engineering with at least 2 years in a management role
  • Proficiency with cloud platforms such as AWS, GCP, or Azure and their managed data services
  • Hands-on experience building and maintaining batch and streaming data pipelines at production scale
  • Familiarity with modern data stack tools including dbt, Airflow, Spark, Kafka, or equivalent
  • Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift
  • Bachelor's degree in computer science, engineering, or a related technical field

Tips for Your Data Engineering Manager Job Search

Quantify pipeline scale on your resume

Hiring managers want to see the scope of what you've owned. Replace vague bullets with specifics: daily data volume processed, number of engineers managed, and latency improvements shipped. Data engineering manager resumes that lack those anchors read as generic.

Highlight architecture decisions, not just tools

Listings for this role screen for judgment, not just Spark or Kafka experience. Show where you chose one approach over another and why. Candidates who explain tradeoffs in their materials move faster through early screens than those who list tools alone.

Target listings that match your stack depth

Filter openings by the data platform your team has used most, whether that's Databricks, Snowflake, dbt, or a cloud-native stack. Applying where your hands-on depth aligns with the job description increases your callback rate more than applying broadly.

Apply early to roles that fit

Migrate Mate lists data engineering manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Prepare a cross-functional leadership story

Interviewers at this level probe how you work with data science, product, and platform teams, not just how you run your own squad. Have a concrete example ready where you aligned engineering priorities with a non-engineering stakeholder and delivered a measurable outcome.

Negotiate scope before negotiating anything else

In final-round conversations, clarify team size, on-call expectations, and technical debt load before discussing other terms. Data engineering manager roles vary widely in what 'manager' actually means, and misaligned scope is the top reason early attrition happens in this function.

Data Engineering Manager Jobs: Frequently Asked Questions

Which companies are hiring the most data engineering managers?

The companies hiring the most data engineering managers right now include Amazon, Meta, and LTM Limited, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in companies scaling their analytics or AI infrastructure.

How many data engineering manager jobs are remote?

About 73% of data engineering manager openings are fully remote or hybrid as of November 2026, making this one of the more remote-accessible management roles in engineering. Platform engineering and cloud infrastructure sub-areas tend to have the highest share of fully distributed positions.

How do you become a data engineering manager?

Most data engineering managers start as senior data engineers, take ownership of project delivery, then step into informal team-lead responsibilities before moving into a formal manager title. The clearest path is building both deep pipeline expertise and a record of mentoring junior engineers, then seeking a team lead or staff-level role where you can demonstrate cross-functional coordination and hiring involvement.

Can you get hired as a data engineering manager with limited management experience?

Yes, particularly at startups and growth-stage companies where the first data engineering manager hire is often a strong senior engineer willing to grow into the role. The most effective approach is to surface any informal leadership experience, such as onboarding engineers, owning architecture decisions, or running incident reviews, and frame those in your resume and interviews as evidence of managerial readiness.

What does the data engineering manager interview process look like?

Most processes include a recruiter screen, a technical assessment covering pipeline design and system architecture, a people-management interview focused on team structure and conflict resolution, and a cross-functional panel with data science or product stakeholders. Final rounds often include a presentation where you propose an engineering roadmap or critique an existing data architecture, which tests both technical judgment and communication.

Where can I find and apply to data engineering manager jobs?

You can find and apply to data engineering manager jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and stack, then apply directly to each listing from the page.

See All 847+ Data Engineering Manager Jobs

Find roles that match your experience and apply in just a few clicks.

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