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General Motors Logo General Motors · IT - Software Development

Data Engineering

Brazil, São Caetano do Sul · Job Posted March 21, 2026
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Job Description

As a part of data engineering in Digital Services and Experience, you will design and maintain scalable data pipelines and curated data products that enable GM to deliver future-focused, consumer-centric solutions. You will support multiple lines of business (Loyalty, OnStar, Digital Services & Experience, Manufacturing, Growth Businesses) by ensuring reliable, high-quality data is available for decision making and advanced analytics.

Job Responsibility

  • Design, build, and maintain data pipelines and ETL/ELT processes using Python, SQL, and Spark (e.g., in Databricks)
  • Develop curated, production-grade datasets from large, complex data sources to support business and advanced analytics use cases
  • Implement data quality checks, monitoring, and documentation for data products and pipelines
  • Work with cross-functional teams to translate business needs into scalable data solutions and resolve data-related technical issues
  • Identify opportunities for automation and process optimization in data ingestion, transformation, and delivery
  • Manage and maintain data models, metadata, and data standards, ensuring consistency across systems

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field
  • Fluency in English language
  • Strong experience with big data and processing frameworks (e.g., Spark, Hadoop, Kafka) and cloud platforms (Azure or AWS)
  • Advanced SQL skills and experience with relational and NoSQL data stores (e.g., Postgres, Cassandra)
  • Proficiency in Python and experience with Databricks, Spark, and Git/GitHub for version control
  • Practical experience working with large-scale event or customer data and turning it into reliable, reusable datasets
  • Demonstrated ability to identify tasks for automation and implement automated solutions
  • Strong problem-solving, communication, and collaborative skills, with the ability to manage multiple priorities in a dynamic environment
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