Vacancy Status: This posting is for an existing vacancy within the organization and is open to new applications.

AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role.

This means the successful candidate is expected to report to the office three days per week, at minimum.

The Senior Data Engineering candidate will build, operate, and improve software and data solutions that make vehicle data operations more reliable, observable, and scalable. This position involves continuously monitoring data product quality alongside vehicle software performance and its behaviour. This role partners with vehicle data engineering, software application teams, program management, systems engineering, and quality engineering to turn operational needs into reliable pipelines, monitoring, dashboards, alerts, and support processes.

The successful engineering candidate is a hands-on technical professional who can work across the full solution lifecycle: understand the problem, define requirements, map data and system relationships, build and test the solution, deploy it, monitor it in production, document it, and improve its reliability, performance, scalability, and cost.

Define technical requirements, metrics, acceptance criteria, monitoring needs, and operational response paths.

Design, execute, and refine scalable data pipelines, automated workflows, monitoring dashboards, system alerts, analytics queries, testing frameworks, and governance standards.

Monitor vehicle data campaigns, package propagation, and eligible vehicle populations across operational systems.

Lead and support data investigations to ensure accurate data capture and high data quality/integrity.

Create logging, metrics, dashboards, and alerts that enhance operational observability and overall fleet software behaviour.

Use data from multiple systems to understand vehicle lifecycle states, campaign status, package delivery, and operational outcomes.

document data flows, data lineage, operating procedures, and support guidance.

Communicate technical findings, risks, limitations, and recommendations to both technical and non-technical audiences.

Contribute reusable patterns, engineering best practices, design guidance, and mentoring within the team and broader organization.

Deliver committed data engineering and observability capabilities with clear acceptance criteria, validation evidence, and production-support plans.



Improve visibility into vehicle data campaigns, package propagation, vehicle populations, and operational system health. Support data related production investigations and resolutions.

Improve the reliability, performance, scalability, usability, and cost of existing data operations and observability solutions. Reduce manual effort, speed up issue investigation, improve launch readiness, and support earlier risk mitigation. Strengthen engineering governance through documented definitions, data quality checks, lineage, testing, and repeatable operating practices.

5+ years of experience building, deploying, or supporting software, data engineering, platform, or observability solutions.

Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field; Hands‑on experience with building and optimizing end-to-end data pipelines in Databricks, including deployment of DBX applications and workflows.

Strong SQL skills and hands‑on experience working with large and complex datasets, data pipelines, workflow orchestration, or comparable data platforms.

Robust scripting and programming skills for automation, data processing, integration, validation, and production workflows (Python, Bash/Shell, etc..).

Familiarity with modern deployment practices such as Git-based workflows, CI/CD, infrastructure-as-code, or Databricks Asset Bundles.

Ability to drive software engineering best practices across development, testing, deployment, documentation, observability, and production support.

Ability to work with vehicle‑level and population‑level data to support operational decisions.

Experience building operational dashboards (Grafana, Datadog, DBX), alerting, logging, monitoring, or decision-support solutions.

Demonstrated ability to lead technical work across teams and collaborate effectively with partners, customers, and dependent teams.

Experience participating in design discussions, code reviews, technical planning, knowledge sharing, or mentoring.

Positive contributor who takes ownership, communicates clearly,



supports team development, and helps build a collaborative and inclusive team environment.

Experience with Azure data services, Data Factory, Datadog, cloud data platforms, or workflow orchestration.

Experience with vehicle, telematics, diagnostic, warranty, software‑version, campaign, package, product‑launch, or fleet data.

Experience with CI/CD and DevOps tools or platforms such as GitHub Actions, Jenkins, Buildkite, Azure DevOps, or comparable technologies.

Experience with Docker or other container technologies, artifact management, automated release promotion, cloud deployment, or infrastructure automation.

Experience designing service‑level indicators or operational metrics for connectivity, deployment, coverage, delivery, reporting, and campaign health.

Familiarity with data modeling, data lineage, reusable engineering patterns, scalable solution design, and governed catalogs.

Familiarity with AI/ML methods that can improve detection quality while controlling false positives and operational burden.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;

Healthcare, dental, and vision benefits;

Life insurance plans to cover you and your family;

Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;

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.

General

Motors offers opportunities to all job seekers including individuals with disabilities. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.Our Company Our Culture How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. #

📌 Senior Data Engineering, Vehicle Data Operations (Oshawa)
🏢 GM of Canada
📍 Oshawa