Staff Data Engineer - Telematics Data Products

Posted 6 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
160K-212K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Build reusable, analytics-ready telematics data products on Azure Databricks. Design canonical datasets, standardize metrics and business logic, optimize performance and cost, enable self-service analytics, and support AI/ML use cases for enterprise telemetry and connected-vehicle data.
Summary Generated by Built In
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
We're looking for a hands-on Staff Data Engineer to build the next generation of telematics data products that power analytics, AI, and decision-making across the enterprise.
This role sits at the intersection of data architecture, analytics, and platform engineering. Success isn't measured by pipelines alone-it's about creating trusted, reusable, analytics-ready data products that make complex telemetry data easier to discover, understand, and use at scale.
You'll help define the foundational datasets, shared metrics, and curated data products that enable teams across engineering, product, quality, safety, and operations to unlock value from connected vehicle data.
What You'll Do
  • Design and build reusable telematics data products that make analytics faster, simpler, and more scalable across the enterprise
  • Design canonical data products that make telematics data easier to understand, join, and reuse
  • Build curated analytics-ready datasets that standardize metrics, aggregations, and business logic across teams
  • Turn repeated analytical work into scalable, reusable data products
  • Use data usage patterns and adoption signals to help prioritize the data product roadmap
  • Design and implement scalable solutions in Azure Databricks
  • Improve performance, scalability, reliability, and cost efficiency
  • Enable self-service analytics by making data easier to discover, trust, and consume
  • Build data products that support analytics, machine learning, and AI use cases

This is an opportunity to help define how a large-scale telematics platform supports analytics, AI, and enterprise decision-making.
The data products you build will help teams answer questions such as:
  • How many miles were driven with Super Cruise last week?
  • Which vehicle signals are most correlated with battery-related warranty events?
  • How are connected services performing across vehicle programs?
  • What emerging trends are appearing across EV systems, charging, and battery health?
  • Which ADAS and safety systems are generating the highest diagnostic or service activity?
  • Where should the next wave of EV charging infrastructure be deployed?
  • How can telemetry data improve product quality, warranty performance, and future vehicle development?

You'll help move the organization from custom analytics and duplicated logic toward trusted, reusable data products that scale across the enterprise.
Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field
  • 8+ years of experience in data engineering or analytics platforms, including experience operating at a senior or staff level with responsibility for architecture, technical direction, and cross-team impact
  • Deep hands-on experience with Databricks
  • Strong data modeling, semantic design, and data architecture skills
  • Expertise in SQL, Spark, and distributed data processing
  • Experience designing solutions for performance, scalability, reliability, and cost optimization
  • Strong understanding of how analysts, engineers, data scientists, and ML practitioners consume data
  • Experience working with IoT, telemetry, event-stream, or sensor data
  • Experience enabling AI, machine learning, and advanced analytics through governed and reusable data products
  • Builder mindset with strong technical judgment and a bias toward simplification

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Master's degree in Computer Science, Data Engineering, Data Science, Analytics, or a related discipline
  • Ability to think deeply about:
  • How data should be modeled
  • How analytics should work
  • How reusable data products should be designed
  • How platform capabilities can reduce duplication and wasted effort
  • How usage patterns should drive future investments

This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Compensation:
  • The expected base compensation for this role is: $160,200 - $211,950. 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.
Total Rewards | 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 [email protected] 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.

Skills Required

  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Mathematics, Statistics, or related technical field
  • 8+ years of experience in data engineering or analytics platforms with architecture and cross-team impact
  • Deep hands-on experience with Databricks
  • Design and implement scalable solutions in Azure Databricks
  • Expertise in SQL
  • Expertise in Apache Spark
  • Experience with distributed data processing
  • Strong data modeling, semantic design, and data architecture skills
  • Experience designing solutions for performance, scalability, reliability, and cost optimization
  • Experience working with IoT, telemetry, event-stream, or sensor data
  • Experience enabling AI, machine learning, and advanced analytics through governed, reusable data products
  • Strong understanding of how analysts, engineers, data scientists, and ML practitioners consume data
  • Builder mindset with strong technical judgment and bias toward simplification
  • Ability to report to specified technical center onsite multiple times per week (hybrid schedule)

What the Team is Saying

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General Motors Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is described as comprehensive, with company‑paid healthcare for many UAW‑represented hourly employees and broad medical, dental, vision, mental‑health, virtual‑care, life, and disability programs noted across groups. Supplemental unemployment benefits during downtime are also referenced for represented hourly employees.
  • Retirement Support Retirement programs prominently feature a 401(k) with a 4% automatic company contribution plus up to a 6% match for eligible roles, and certain groups note pension or defined‑contribution arrangements. Retiree resources, including a VEBA trust for healthcare in specific populations, are also cited.
  • Parental & Family Support Family support is emphasized through up to 12 weeks of paid family leave for salaried employees and a lifetime reimbursement benefit around $40,000 for fertility, adoption, and related family‑forming expenses via Carrot. Backup care and other caregiver supports are also highlighted in company materials.

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week
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