Staff Data Engineer – GPSC Insights Engineering

Position Overview

This hybrid role requires the successful candidate to report to Austin, TX at least three days per week. Join our GPSC Insight Engineering team as a Staff Data Engineer, where you'll serve as a technical lead in designing and building scalable, high-performance data solutions for global purchasing supply chain. In this senior-level position, you will build industrialized data assets and pipelines to drive Business Intelligence and Advanced Analytics, while actively mentoring team members and collaborating across teams.

Key Responsibilities

• Provide technical leadership for complex data engineering initiatives from concept through production.
• Assemble large, complex data sets meeting both functional and non-functional business requirements.
• Identify, design, and implement process improvements including automation and optimization for scalability.
• Architect, build, and optimize highly scalable data pipelines with efficient, maintainable code.
• Design and develop integrations from various source systems such as files, databases, and APIs.
• Lead cross-functional delivery of data-driven solutions while contributing to architecture and technology strategy.
• Develop solutions ensuring data delivery consistently meets SLA requirements and supports operational excellence.
• Partner with operations teams to troubleshoot and resolve production issues ensuring platform stability.
• Drive engineering excellence via Agile methodologies, design thinking, continuous deployment, and performance tuning.
• Build tooling and automation for deployments, production monitoring, and operational support.
• Collaborate with business and technology partners, offering guidance and strategic leadership.
• Mentor peers and junior engineers fostering a culture of innovation and continuous improvement.
• Represent the team in executive forums to communicate status, risks, and strategic data engineering value.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• 10+ years of experience in data engineering using Python or Scala, SQL, and relational/non-relational storage
• 5+ years of experience in distributed, petabyte-scale data processing with Spark and Kubernetes
• Hands-on experience with real-time data streaming in Kubernetes and Kafka
• Expertise in performance tuning including partitioning, clustering, and caching techniques
• Strong knowledge of SQL, key-value datastores, and document stores
• Solid background in CI/CD best practices and modern software engineering principles
• Experience in data architecture and modeling with proven skills in query performance optimization
• Cloud experience with at least one major platform (Azure preferred; AWS or GCP acceptable)
• Strong teamwork and leadership skills to influence across product, program, and engineering teams
• Commitment to data security, privacy, and regulatory compliance

Preferred Qualifications

• Master’s degree in Computer Science, Software Engineering, or a related field
• Background in data governance, metadata management, and data quality/observability
• Knowledge of schema design and data contracts
• Experience processing and storing media file formats such as video, audio, or images
• Familiarity with tools such as Databricks or Snowflake
• Experience designing and implementing robust data ingestion frameworks for both structured and unstructured data

Benefits & Perks

• Compensation: Expected base compensation is $165,000 - $270,900. Actual compensation will reflect factors relevant to the position.
• Bonus Potential: Incentive pay program based on company performance, job level, and individual performance.
• Benefits: A variety of health and wellbeing programs including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance, employee assistance, and GM vehicle discounts.
• Relocation Benefits: This job may be eligible for relocation benefits.
• Company Vehicle: Eligibility to participate in a vehicle evaluation program subject to a motor vehicle report review, with assignment of a GM vehicle (note: requires purchasing/leasing a qualifying GM vehicle every four years under limited exceptions).
• Hybrid Work: Flexibility to work in a hybrid model with required on-site presence three days per week.
• Immigration: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP for this role.