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Senior Data Engineer

Austin, Texas, United States of America

Live, first seen by us today
Pay
$125,000–168,650/year · BaseAnnual period assumed — pay source
Compensation: The expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workGM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE

What you’ll work on

Full posting
  • You’ll partner with product, analytics, and engineering teams to deliver end-to-end solutions—from ingestion and transformation through APIs and intuitive interfaces.

  • Design, build, and maintain scalable batch and streaming data pipelines.

  • Develop and optimize data models, warehouses, and lakehouse solutions for analytics and application use cases.

From the employer’s posting
The Role We’re seeking a Senior Data Engineer to design and operate reliable data platforms while helping build user-facing applications that make data accessible and actionable. This role combines strong data engineering fundamentals with hands-on experience developing front-end applications in React. You’ll partner with product, analytics, and engineering teams to deliver end-to-end solutions—from ingestion and transformation through APIs and intuitive interfaces. What You’ll Do
What You’ll Do Design, build, and maintain scalable batch and streaming data pipelines. Develop and optimize data models, warehouses, and lakehouse solutions for analytics and application use cases.
Design, build, and maintain scalable batch and streaming data pipelines. Develop and optimize data models, warehouses, and lakehouse solutions for analytics and application use cases. Build and maintain data services and APIs that securely expose trusted, well-documented data to applications.
Education & alternatives
- 5+ years of professional experience in data engineering, software engineering, or a closely related field. - Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience. - Strong proficiency in SQL and a programming language used for data engineering, such as Python, Scala, or Java and cloud data platforms like Azure, AWS or GCP.
Apply at General Motors

Posting record

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Status in our records
Live
First seen by us
Nov 7, 2026today
Recorded sightings
1
Reposted
once since Oct 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

In line with similar jobs

$125K–$169K against $127K–$190K, the middle half of what similar US postings state.

From 2,163 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

At General Motors, jobs usually come down by about day 14.

From 11,436 similar postings that came down, and 135 of General Motors’s. Coming down is not always a hire.

General Motors is hiring

48 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • JavaScript
  • Python
  • Scala
  • SQL
  • TypeScript
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • dbt
  • Docker
  • GCP
  • Kafka
  • Kubernetes
  • Redshift
  • Snowflake
  • Spark
  • Airflow
  • React
Where the posting names them
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience. - Strong proficiency in SQL and a programming language used for data engineering, such as Python, Scala, or Java and cloud data platforms like Azure, AWS or GCP. - Experience designing production-grade ETL/ELT pipelines and working with data warehouses, data lakes, or lakehouse platforms.
- Build and maintain data services and APIs that securely expose trusted, well-documented data to applications. - Develop responsive front-end features using React, JavaScript or TypeScript, and modern web development practices. - Collaborate with product designers and stakeholders to translate workflows and data needs into clear, usable interfaces.
- Experience designing production-grade ETL/ELT pipelines and working with data warehouses, data lakes, or lakehouse platforms. - Hands-on experience building or maintaining front-end applications with React; familiarity with TypeScript and component-based UI patterns. - Experience integrating front-end applications with REST or GraphQL APIs and handling asynchronous data states, errors, and loading behavior.
- Experience with tools such as Apache Spark, Kafka, Airflow, dbt, or comparable technologies. - Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Redshift, or comparable services. - Familiarity with Docker, Kubernetes, infrastructure as code, and cloud-native architectures.
What Can Give You a Competitive Advantage (Preferred Qualifications) - Experience with tools such as Apache Spark, Kafka, Airflow, dbt, or comparable technologies. - Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Redshift, or comparable services.
- Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Redshift, or comparable services. - Familiarity with Docker, Kubernetes, infrastructure as code, and cloud-native architectures. - Experience with front-end testing tools, accessibility practices, and design systems.
The Role We’re seeking a Senior Data Engineer to design and operate reliable data platforms while helping build user-facing applications that make data accessible and actionable. This role combines strong data engineering fundamentals with hands-on experience developing front-end applications in React. You’ll partner with product, analytics, and engineering teams to deliver end-to-end solutions—from ingestion and transformation through APIs and intuitive interfaces. What You’ll Do

Your next step

Complete your application on generalmotors.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Has General Motors posted this job before?

Yes. We’ve followed 5 other Senior Data Engineer jobs there since April 2026. 4 came down, usually after about 12 days. One is still up.

  1. WarrenCame down after 12 days, first seen Apr 24
  2. AustinCame down after 7 days, first seen Apr 28
  3. AustinCame down after 12 days, first seen Oct 9
  4. AustinCame down after 13 days, first seen Oct 12
  5. AustinStill up after 0 days, first seen Nov 7
  6. This jobUp 0 days so far, first seen Nov 7

If this one keeps the same pace, it may come down around November 19.

Large employers often post one title for several teams, so these can be separate openings.

About General Motors

People
About 13,474 in 2025.Benefit plan filings (Form 5500)
Company
Listed as GM.
H-1B visas
163 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,082.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].


The Role


We’re seeking a Senior Data Engineer to design and operate reliable data platforms while helping build user-facing applications that make data accessible and actionable. This role combines strong data engineering fundamentals with hands-on experience developing front-end applications in React. You’ll partner with product, analytics, and engineering teams to deliver end-to-end solutions—from ingestion and transformation through APIs and intuitive interfaces.

 

What You’ll Do

  • Design, build, and maintain scalable batch and streaming data pipelines.
  • Develop and optimize data models, warehouses, and lakehouse solutions for analytics and application use cases.
  • Build and maintain data services and APIs that securely expose trusted, well-documented data to applications.
  • Develop responsive front-end features using React, JavaScript or TypeScript, and modern web development practices.
  • Collaborate with product designers and stakeholders to translate workflows and data needs into clear, usable interfaces.
  • Establish data quality checks, observability, lineage, and alerting; investigate and resolve pipeline and application issues.
  • Improve performance, reliability, security, and cost efficiency across data and application systems.
  • Apply engineering best practices, including code review, automated testing, CI/CD, documentation, and maintainable architecture.
  • Mentor engineers, provide technical guidance, and contribute to roadmaps and architectural decisions.

Your Skills & Abilities (Required Qualifications)

  • 5+ years of professional experience in data engineering, software engineering, or a closely related field.
  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.
  • Strong proficiency in SQL and a programming language used for data engineering, such as Python, Scala, or Java and cloud data platforms like Azure, AWS or GCP.
  • Experience designing production-grade ETL/ELT pipelines and working with data warehouses, data lakes, or lakehouse platforms.
  • Hands-on experience building or maintaining front-end applications with React; familiarity with TypeScript and component-based UI patterns.
  • Experience integrating front-end applications with REST or GraphQL APIs and handling asynchronous data states, errors, and loading behavior.
  • Understanding of data modeling, schema evolution, data quality, and distributed processing concepts.
  • Experience with cloud platforms and modern deployment or orchestration tools.
  • Strong communication and problem-solving skills, with the ability to work across technical and nontechnical teams.

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Experience with tools such as Apache Spark, Kafka, Airflow, dbt, or comparable technologies.
  • Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, Redshift, or comparable services.
  • Familiarity with Docker, Kubernetes, infrastructure as code, and cloud-native architectures.
  • Experience with front-end testing tools, accessibility practices, and design systems.
  • Experience implementing authentication, authorization, and secure handling of sensitive data.
  • A track record of mentoring teammates and leading delivery across multiple systems or teams.

This job may be eligible for relocation benefits.


Compensation: 

  • The expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position. 
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)


#LI-CC1







About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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Pay
Compensation: The expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Location & working pattern

Austin, Texas, United States of America

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role
Work authorization
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #LI-CC1
More source context
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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