Data Engineer

Job Description

The Role:

Join a team of builders shaping enterprise-grade data products and platforms that power analytics customer experiences and operational insights at scale.

You will design build and operate reliable batch and streaming data pipelines partnering closely with product platform and governance teams to deliver high-quality secure and discoverable data.

What Youll Do (Responsibilities):

• Architect and implement scalable ETL/ELT pipelines and services using modern data platforms and best practices.
• Build streaming and micro-batch data flows including schema evolution late/outoforder events handling and exactlyonce delivery semantics where feasible.
• Model data for analytics and ML using layered bronze/silver/gold patterns with clear data contracts SLAs and lineage.
• Embed observability (logging metrics tracing) data quality checks and cost/performance optimization into everything you ship.
• Automate testing and deployments with CI/CD.
• Collaborate with domain SMEs and data product owners to define requirements acceptance criteria and success metrics.
• Operate what you build: participate in oncall/incident response rotations and drive RCA and preventative engineering.

How Youll Work:

• Product mindset: outcome-driven iterative delivery and clear metrics.
• Quality first: automated tests reproducible pipelines and continuous improvement.
• Security and compliance by design: least-privilege access data masking and auditability.
• Collaboration: partner across platforms governance and product teams; communicate clearly with technical and non-technical stakeholders.

Tools you May Use:

• Languages: Python SQL
• Compute and pipelines: Apache Spark orchestration/workflows (e.g. Databricks Workflows/Airflow) containerized jobs where needed
• Storage/metadata: Parquet; lakehouse tables (e.g. Delta/Iceberg); catalog/lineage tools
• DevOps: Git CI/CD secrets management observability (logs/metrics/traces)

Your Skills & Abilities (Required Qualifications):

• Bachelors in Computer Science Engineering or equivalent experience will be considered in lieu of degree
• 5 years building data pipelines at scale with a modern data stack
• Strong proficiency in Python and SQL plus performance tuning of both
• Hands-on experience with distributed compute (e.g. Apache Spark) and lakehouse/warehouse paradigms
• Data modeling for analytics (dimensional/medallion) data contracts and schema management
• CI/CD (Git-based workflows) and infrastructure-as-code (e.g. Terraform) in a cloud environment
• Practical knowledge of data security privacy and access control concepts

• Streaming pipelines with technologies such as Kafka (or similar) including stateful processing and backpressure management
• Lakehouse technologies (e.g. Delta Lake/Iceberg/Hudi) file formats (Parquet/ORC) and table optimization (Zordering clustering)
• Data governance and cataloging (e.g. Atlan/Unity Catalog/Collibra/Immuta) and automated lineage
• Data quality frameworks (e.g. Great Expectations) and SLAs/SLOs for data products
• Experience with Databricks or equivalent cloud data platforms and workload orchestration
• Domain experience with IoT/telematics energy or mobility data is a plus

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

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

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

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