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Senior Data Engineering, Vehicle Data Operations

  • 위치
    • Markham, Ontario
    • Oshawa, Ontario
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202621895

설명

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


Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum

The role

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.


What You'll Do (Responsibilities)


  • 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.
  • Define requirements and acceptance criteria for external and dependent teams; 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.
  • Work effectively in a fast-paced, collaborative environment and contribute positively to team culture.

Expected business outcomes


  • 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.

Your Skills & Abilities (Required Qualifications)


  • 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; equivalent practical experience may be considered.
  • 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.
  • Strong 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.

What Can Give You a Competitive Advantage (Preferred Qualifications)


  • 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.
  • Familiarity with Fluent Bit and associated applications, plug-ins, and operational tools.
  • 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.

Compensation: 

The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.


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.  


Benefits Overview


The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

  • 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;
  • GM Vehicle Purchase Plan for you and your family.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.