설명

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 are looking for a hands-on Senior Data Engineer to help build the data products that power Customer Care and Aftersales analytics, AI, and operational decision-making.

Behind every warranty claim, repair order, service event, and customer interaction is an opportunity to improve quality, reduce costs, increase customer satisfaction, and make vehicle ownership better.

The challenge is not collecting the data. It is turning large, complex operational datasets into trusted, reusable assets that teams can use to answer important business questions quickly and confidently.

If you enjoy building scalable data solutions that make answers possible to questions like the ones below, this role is for you.

Which repair orders are keeping customer vehicles on dealer lots the longest?
What parts shortages are creating the greatest service delays?
Which warranty concerns are increasing across vehicle programs?
Where are repeat repairs occurring most frequently?
What trends are emerging across customer care and service operations?

What You’ll Do

Build and support data products that power analytics, AI, reporting, and operational decision-making
Design and develop scalable pipelines that ingest, transform, curate, and publish high-volume operational data
Create trusted datasets that make aftersales data easier to understand, use, and reuse
Optimize data processing workloads for performance, scalability, reliability, and cost efficiency
Implement data quality, governance, observability, and monitoring capabilities
Build reusable frameworks that enable analysts and domain experts to operationalize SQL and Python solutions in a governed, scalable manner
Partner with business stakeholders, analysts, architects, and engineers to transform business requirements into trusted data products
Mentor engineers and contribute to engineering standards and best practices

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field
5+ years of experience in data engineering, software engineering, or related disciplines
Expert-level SQL skills with extensive experience building, optimizing, and troubleshooting complex analytical workloads
Strong software engineering skills in Python or Java
Experience building production-grade data pipelines and distributed data processing solutions
Experience with Databricks or similar large-scale data platforms
Experience working in cloud environments such as Azure, AWS, or GCP
Experience with Kafka, Pulsar, Event Hub, or similar streaming technologies
Experience optimizing large-scale data workloads for performance, reliability, and cost efficiency
Experience with CI/CD, observability, monitoring, and automation practices
Strong understanding of data quality, governance, and operational excellence
Strong communication skills and the ability to work closely with business and technical stakeholders

What Can Give You a Competitive Advantage (Preferred Qualifications)

The ideal candidate is a builder.
They care about more than moving data from one place to another. They care about creating trusted, scalable data products that people actually use.
They are equally comfortable writing complex SQL, building production-grade data pipelines, optimizing distributed workloads, and helping business users turn ideas into governed, reusable capabilities.
Most importantly, they know how to balance speed, scalability, reliability, and cost as data products grow, and they help the broader team do the same.

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.)

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다양성 정보

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공평한 취업 기회 선언 (미국)

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숙소 (미국 및 캐나다)

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