Senior Data Engineer

This role is categorized as hybrid. This means the successful candidate is expected to report to GM 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: This role is for a senior individual contributor in Data Engineering who can independently lead complex technical work, apply strong professional judgment, and improve processes, services, and delivery patterns across the organization. At this level, the individual is expected to operate with minimal guidance, resolve non-standard problems using advanced analytical thinking, and serve as a technical resource for less experienced team members. The role is anchored in data engineering and includes an additional data science profile to strengthen AI data enablement, experimentation support, and close collaboration with data scientists and business partners. Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure, transform raw data into high-quality datasets for analytics and advanced data science use cases, and partner closely with data scientists, analysts, software engineers, and business teams. Data scientists are expected to apply analytical and machine learning techniques, explore and prepare data, validate models, design experiments, and translate findings into actionable recommendations.