Job Description

Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX, three times per week.

About the Role

Ready to shape the future of data engineering? Join us as a Senior Data Engineer and help build scalable, cloud-native data solutions that power modern analytics and decision-making in a fast-paced environment.

In this role, you will design and build scalable data pipelines and industrialized data assets, with a strong focus on CRM data integration and optimization to support sales, loyalty, and marketing initiatives across our automotive business. You will partner closely with Data Scientists, BI Developers, and Marketing and Sales Operations teams to deliver data solutions that enhance customer loyalty, improve lead conversion, support targeted campaigns, and provide program-level oversight.

Using cloud-native technologies, including Azure Databricks, you will enable advanced analytics across customer behavior, dealer interactions, vehicle purchase trends, and campaign performance—helping shape the future of automotive retail and marketing.

We are seeking an experienced Data Engineer who is passionate about building scalable data solutions and applying modern development and DevOps practices to data engineering workflows, with a strong background working in Azure- and Databricks-based environments.

What You'll Do

• Design, develop, and optimize data pipelines and workflows using Databricks and Azure Data Services.
• Implement best practices for data engineering, including CI/CD, automated testing, and infrastructure-as-code.
• Collaborate with cross-functional teams to deliver high-quality, reliable, and secure data solutions.
• Drive adoption of modern DevOps practices within the data engineering lifecycle.
• Ensure data quality, governance, and compliance across all solutions.

Your Skills & Abilities (Required Qualifications)​​  

• 7+ Years Data Engineering Experience
• Proven experience working with Databricks and Azure (Data Factory, Data Lake, Synapse, etc.).
• Strong proficiency in Python, SQL, Apache Spark, and distributed data processing frameworks.
• Hands-on experience with CI/CD pipelines, Git, and DevOps tools for data engineering.
• Solid understanding of cloud architecture, data security, and performance optimization.
• Ability to work in an agile environment and deliver solutions at scale.

What Will Give You A Competitive Edge (Preferred Qualifications)​  

• Familiarity with infrastructure automation (Terraform, ARM templates).
• Salesforce CRM, CRM-A, Data Cloud experience.
• Knowledge of data governance frameworks and compliance standards.
• Implemented visualizations with Power-BI or Tableau

Additional Information:

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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Relocation benefits are available for candidates who qualify under company policy.

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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. Relocation benefits are available for candidates who qualify under company policy.

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.