Lead Data Engineer

Job Description

This position is remote, but candidates residing within a 50‑mile radius of Austin, Detroit, Milford, or Mountain View may be expected to report to the office at least three times a week.

The Role

The Marketing Applied Sciences team is dedicated to creating analytics‑driven solutions that empower GM's Marketing Organizations to meet their business objectives. As a Lead Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure, facilitating efficient data collection, storage, and analysis to support marketing initiatives. Collaboration with data scientists, data architects, and business stakeholders is essential to ensure access to high‑quality data that drives insights and aligns with GM's strategic vision. This role focuses on delivering innovative solutions and effectively engaging with a diverse data ecosystem.

What You'll Do

• Develop analytical datasets that are accurate and consistent to assist advanced data science projects and business intelligence efforts.
• Analyze business needs, identify relevant data sources, and create datasets that provide actionable insights.
• Evaluate data quality and profile datasets to ensure they meet business objectives and analytical requirements.
• Integrate and transform data from diverse sources, constructing scalable and optimized data pipelines.
• Maintain thorough metadata documentation, logical models, and data dictionaries for analytical assets.
• Act as the subject matter expert for analytical datasets, offering guidance and resolving queries from data scientists.
• Implement process improvements, including automation, data delivery optimization, and enhancing infrastructure scalability.
• Collaborate with business and technology partners to address data‑related issues and define necessary infrastructure specifications.
• Ensure data quality, security, and compliance with governance and privacy regulations.
• Mentor team members and contract resources, promoting best practices and sharing knowledge of emerging technologies.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, MIS, Software Engineering, or a related field.
• 5 – 7+ years of experience in data engineering or development, including proficiency in Python or Scala, SQL, and various data storage solutions (ETL frameworks, big data processing, NoSQL).
• 3+ years of relevant experience as a data engineer or in a similar capacity.
• 3+ years of experience working with distributed data processing (Spark) and container orchestration (Kubernetes).
• Expertise in data streaming within Kubernetes and Kafka.
• Experience with cloud platforms, preferably Azure; AWS or GCP experience will also be considered.
• Comprehensive understanding of CI/CD principles and tools.
• Familiarity with predictive and analytical modeling techniques.
• Strong grasp of performance optimization strategies such as partitioning, clustering, and caching.
• Proficiency in SQL and familiarity with key‑value and document stores.
• Knowledge of data architecture and modeling concepts to facilitate efficient data consumption.
• Excellent collaborative and communication skills, capable of working across multiple teams and disciplines.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Master's degree in Computer Science, MIS, Software Engineering, or a related field.
• Understanding of data governance, metadata management, and data quality/observability principles.
• Experience with schema design and data contracts.
• Familiarity with various file formats and handling data ingestion.
• Experience with Databricks, Snowflake, or related platforms.
• Expertise in designing and implementing data ingestion frameworks for diverse sources (structured and unstructured data).

Compensation

• Base Salary: $129,400 – $212,300, varying based on relevant factors.
• Bonus Potential: An incentive pay program provides bonuses based on company performance, job level, and individual achievements.
• Benefits: GM provides a comprehensive range of health and wellness programs, including medical, dental, vision coverage, retirement savings plans, and employee discounts among others.

This position does not offer relocation benefits; any relocation costs will be the responsibility of the selected candidate.

This role is not eligible for immigration‑related sponsorship. Candidates requiring sponsorship for work authorization should not apply.

About GM

Our vision is a world characterized by Zero Crashes, Zero Emissions, and Zero Congestion, and we are committed to driving positive change that leads to a safer and more equitable world.

Why Join Us

At GM, we believe in actively fostering an environment where everyone can contribute to meaningful change through their actions and culture. We are dedicated to ensuring all employees feel like they are part of one cohesive team at General Motors.

Non‑Discrimination and Equal Employment Opportunities (U.S.)

General Motors is devoted to maintaining a workplace free from unlawful discrimination while promoting inclusion and belonging. We firmly believe that an inclusive atmosphere nurtures employee development and leads to superior products.

We encourage candidates to review responsibilities and qualifications for each role and apply for positions that align with their skills. Applicants may need to complete role‑related assessments and/or pre‑employment screenings before beginning employment.

Accommodations

General Motors welcomes all job seekers, including individuals with disabilities. For reasonable accommodations during the job search or application process, please email your specific accommodation request along with the job title and requisition number you are applying for.

We are committed to leading change for a better, safer, and more equitable world through our innovative technology and diverse team. Join us to help create the future of mobility