Data Engineer

About The Company
General Motors (GM) is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility with a focus on sustainability, safety, and advanced technology. With a rich history spanning over a century, GM has established itself as a pioneer in automotive engineering, delivering high-quality vehicles and cutting-edge solutions to customers worldwide. The company’s vision revolves around creating a world with Zero Crashes, Zero Emissions, and Zero Congestion, emphasizing responsible and innovative transportation solutions. GM fosters a culture of inclusion, collaboration, and continuous improvement, leveraging diverse talent and technological advancements to lead the automotive industry into a new era of mobility.
About The Role
As a Staff Data Engineer within the Marketing Applied Sciences organization at GM, you will play a pivotal role in designing and developing high-quality, scalable, and reusable data and analytics products that support applied analytics solutions and insights. Your primary responsibility will be to build and optimize data engineering pipelines, marketing data products, and AI/ML solutions, including large language models (LLMs), AI agents, and automation frameworks. You will own the enforcement of data and AI standards, ensure security and compliance, and contribute to enterprise-scale AI initiatives. This role requires close collaboration with cross-functional teams such as product managers, data scientists, and engineers to develop innovative marketing solutions that enhance customer experiences and drive measurable business outcomes. You will also contribute to building and maintaining AI agents that integrate with enterprise data systems, third-party data providers, and marketing platforms, ensuring their operational excellence and continuous improvement. This is an exciting opportunity for a seasoned data engineering professional eager to influence the future of automotive marketing through advanced data and AI technologies.
Qualifications

• Bachelor’s degree in Computer Science, ML Engineering, Data Engineering, Information Systems, Mathematics, or a related technical field
• 8+ years of experience in Software Engineering, Data Engineering, Data Science, or related fields
• Experience building high-performance, scalable data and AI solutions
• Proficiency in Python and/or other object-oriented programming languages such as Java or C++
• Strong knowledge of SQL and distributed data processing frameworks like PySpark
• Experience with modern data platforms and tools such as Databricks, Airflow, dbt, Snowflake, Kafka, or similar
• Hands-on experience with cloud architecture systems including Azure, AWS, or GCP
• Ability to communicate complex technical solutions effectively to both technical and non-technical stakeholders
• Proven track record of leading projects that integrate marketing, data science, and technology to achieve business goals
• Strong understanding of modern data architectures, pipelines, and AI/ML best practices, including LLMs and automation

Responsibilities

• Define, own, and enforce data and AI/ML standards, best practices, and industry guidelines across the Marketing Applied Sciences portfolio
• Design, develop, and maintain scalable data pipelines, services, and AI agents to support marketing analytics and automation initiatives
• Identify opportunities for optimization to enhance the performance, scalability, stability, and cost-efficiency of data platforms and workflows
• Manage data stewardship responsibilities including data quality, documentation, access controls, and responsible data use in collaboration with governance and privacy teams
• Design and evolve marketing and Ad Ops data infrastructure, including privacy-safe environments like data clean rooms for audience insights and measurement
• Develop robust data models, ingestion, and transformation workflows ensuring high data quality and discoverability for analytics and AI use cases
• Collaborate with engineering teams to implement best practices, provide feedback, and improve data and AI system design
• Build and implement unit tests, data quality checks, logging, and observability mechanisms to ensure production readiness
• Maintain operational excellence by monitoring, troubleshooting, and enhancing data and ML pipelines and AI agents
• Integrate third-party data sources and marketing platforms via APIs to enrich data and insights
• Mentor junior team members and promote knowledge sharing within the organization

Benefits

• Comprehensive health and wellbeing programs including medical, dental, and vision coverage
• Health Savings Accounts (HSAs) and Flexible Spending Accounts (FSAs)
• Retirement savings plans with company matching
• Paid vacation, holidays, and sick leave
• Tuition assistance and professional development programs
• Employee assistance programs and mental health resources
• GM vehicle discounts and exclusive employee offers
• Flexible work arrangements, including remote work options

Equal Opportunity
General Motors is an equal opportunity employer committed to fostering an inclusive environment where all employees and applicants are treated with respect and dignity. We do not discriminate based on sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status, or any other protected characteristic under applicable laws. We encourage candidates from diverse backgrounds to apply and join our team. GM values and promotes diversity, equity, and inclusion in all aspects of our operations and employment practices.