Job Description

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

The Role

Millions of connected vehicles generate an endless stream of telemetry every day.
That data powers connected services, software-defined vehicle capabilities, quality and warranty insights, EV experiences, product development, analytics, AI, and future vehicle innovation.

None of that happens without a world-class data platform.
We're looking for a hands-on Senior Data Engineer to help build, scale, and operate the telemetry platform that turns massive volumes of raw vehicle data into trusted, discoverable, production-grade data assets used across General Motors.

This is not a reporting role.
This is not a dashboard role.

This is a platform engineering role focused on building the pipelines, frameworks, quality controls, and observability capabilities that keep enterprise-scale telemetry data flowing reliably every day.

If you enjoy building systems that process billions of events, solving distributed data challenges, and creating platforms that other teams depend on to do their jobs, you'll love this role.

What You’ll Do

Build and operate the telemetry data platform that powers connected vehicle analytics, AI, quality engineering, and software-defined vehicle innovation at global scale
Build and operate large-scale telemetry pipelines that ingest, process, and publish vehicle data at enterprise scale
Develop batch and streaming solutions using Databricks, Spark, Event Hubs, and cloud-native technologies
Create reliable, production-grade data products that support analytics, AI, engineering, and operational decision-making
Implement data quality, validation, monitoring, and observability capabilities that proactively identify issues before they impact consumers
Design systems that are scalable, resilient, cost-efficient, and easy to operate
Build tooling and frameworks that make it easier for teams to develop and deploy trusted data assets
Troubleshoot performance bottlenecks and optimize large-scale distributed workloads
Improve platform reliability through automation, CI/CD, Infrastructure as Code, and engineering best practices
Partner with product, analytics, AI, and engineering teams to deliver trusted telemetry data at scale
Help raise the engineering bar through mentorship, technical leadership, and operational excellence

Problems You'll Help Solve

How do we reliably process billions of telemetry events every day?
How do we detect data quality issues before business users find them?
How do we make telemetry data easier to trust, discover, and reuse?
How do we scale streaming and batch workloads without runaway cloud costs?
How do we provide observability into thousands of pipelines and data products?
How do we make telemetry data available to analytics, AI, and engineering teams faster and more reliably?

Your Skills & Abilities (Required Qualifications)

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
5+ years of experience building large-scale data platforms, distributed systems, or data engineering solutions
Strong hands-on experience with Spark and distributed data processing
Strong programming skills in Python or Scala
Expert-level SQL skills
Experience with Databricks or similar large-scale analytical platforms
Experience building cloud-native solutions in Azure, AWS, or GCP
Experience with streaming technologies such as Event Hubs, Kafka, Pulsar, or similar platforms
Experience building and operating highly reliable production data pipelines
Experience implementing observability, monitoring, alerting, and operational support capabilities
Experience designing and enforcing data quality controls, validation frameworks, and reliability standards
Experience optimizing distributed workloads for performance, scalability, and cost efficiency
Experience with CI/CD, Infrastructure as Code, and automation practices
Strong troubleshooting, communication, and problem-solving skills

What Can Give You a Competitive Advantage (Preferred Qualifications)

The ideal candidate is a builder who takes pride in running reliable systems at scale.
They think deeply about:

Reliability
Observability
Data quality
Performance
Scalability
Cost efficiency
Operational excellence

This job may be eligible for relocation benefits.

Compensation:

The expected base compensation for this role is: $129,400 - $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.)

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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

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