{"id":2107920,"url":"https://alion.io/job/general-motors-senior-data-engineering-vehicle-data-operations","title":"Senior Data Engineering, Vehicle Data Operations","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oshawa, Canada","Markham, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":164600,"currency":"CAD","period":"year","gross":null,"usd_annual":115576},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Buildkite","optional":true},{"name":"Docker","optional":true},{"name":"Fluent Bit","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Jenkins","optional":true}],"status":"live","first_seen_at":"2026-10-08T21:04:39Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-18T07:56:41Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Job Description\nVacancy Status:\nThis posting is for an existing vacancy within the organization and is open to new applications.\nAI Disclosure:\nAs part of the application process, Artificial Intelligence will be used in the hiring process for this role\nWork 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\nThe role\nThe 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.\nThis 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.\nThe 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.\nWhat You'll Do (Responsibilities)\nDefine technical requirements, metrics, acceptance criteria, monitoring needs, and operational response paths.\nDesign, execute, and refine scalable data pipelines, automated workflows, monitoring dashboards, system alerts, analytics queries, testing frameworks, and governance standards.\nMonitor vehicle data campaigns, package propagation, and eligible vehicle populations across operational systems.\nLead and support data investigations to ensure accurate data capture and high data quality/integrity.\nCreate logging, metrics, dashboards, and alerts that enhance operational observability and overall fleet software behaviour.\nUse data from multiple systems to understand vehicle lifecycle states, campaign status, package delivery, and operational outcomes.\nDefine requirements and acceptance criteria for external and dependent teams; document data flows, data lineage, operating procedures, and support guidance.\nCommunicate technical findings, risks, limitations, and recommendations to both technical and non-technical audiences.\nContribute reusable patterns, engineering best practices, design guidance, and mentoring within the team and broader organization.\nWork effectively in a fast-paced, collaborative environment and contribute positively to team culture.\nExpected business outcomes\nDeliver committed data engineering and observability capabilities with clear acceptance criteria, validation evidence, and production-support plans.\nImprove visibility into vehicle data campaigns, package propagation, vehicle populations, and operational system health.\nSupport data related production investigations and resolutions.\nImprove the reliability, performance, scalability, usability, and cost of existing data operations and observability solutions.\nReduce manual effort, speed up issue investigation, improve launch readiness, and support earlier risk mitigation.\nStrengthen engineering governance through documented definitions, data quality checks, lineage, testing, and repeatable operating practices.\nYour Skills & Abilities (Required Qualifications)\n5+ years of experience building, deploying, or supporting software, data engineering, platform, or observability solutions.\nBachelor’s degree in Engineering, Computer Science, Data Science, or a related field; equivalent practical experience may be considered.\nHands-on experience with building and optimizing end-to-end data pipelines in Databricks, including deployment of DBX applications and workflows.\nStrong SQL skills and hands-on experience working with large and complex datasets, data pipelines, workflow orchestration, or comparable data platforms.\nStrong scripting and programming skills for automation, data processing, integration, validation, and production workflows (Python, Bash/Shell, etc..).\nFamiliarity with modern deployment practices such as Git-based workflows, CI/CD, infrastructure-as-code, or Databricks Asset Bundles.\nAbility to drive software engineering best practices across development, testing, deployment, documentation, observability, and production support.\nAbility to work with vehicle-level and population-level data to support operational decisions.\nExperience building operational dashboards (Grafana, Datadog, DBX), alerting, logging, monitoring, or decision-support solutions.\nDemonstrated ability to lead technical work across teams and collaborate effectively with partners, customers, and dependent teams.\nExperience participating in design discussions, code reviews, technical planning, knowledge sharing, or mentoring.\nPositive contributor who takes ownership, communicates clearly, supports team development, and helps build a collaborative and inclusive team environment.\nWhat Can Give You a Competitive Advantage (Preferred Qualifications)\nExperience with Azure data services, Data Factory, Datadog, cloud data platforms, or workflow orchestration.\nExperience with vehicle, telematics, diagnostic, warranty, software-version, campaign, package, product-launch, or fleet data.\nExperience with CI/CD and DevOps tools or platforms such as GitHub Actions, Jenkins, Buildkite, Azure DevOps, or comparable technologies.\nExperience with Docker or other container technologies, artifact management, automated release promotion, cloud deployment, or infrastructure automation.\nFamiliarity with Fluent Bit and associated applications, plug-ins, and operational tools.\nExperience designing service-level indicators or operational metrics for connectivity, deployment, coverage, delivery, reporting, and campaign health.\nFamiliarity with data modeling, data lineage, reusable engineering patterns, scalable solution design, and governed catalogs.\nFamiliarity with AI/ML methods that can improve detection quality while controlling false positives and operational burden.\nCompensation:\nThe 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.\nGM 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.\nBenefits Overview\nThe 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:\nPaid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;\nHealthcare, dental, and vision benefits;\nLife insurance plans to cover you and your family;\nCompany and matching contributions to a Defined Contribution Pension plan to help you save for retirement;\nGM Vehicle Purchase Plan for you and your family.\n\nAbout GM\nOur 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.\nWhy Join Us\nWe 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.\nNon-Discrimination and Equal Employment Opportunities\nGeneral 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.\nWe 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, visitHow we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.","description_format":"text","description_chars":8766,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-08T21:04:39Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.69,"p_room":0.45,"age_days":8,"expected_fill_days":5,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":115576,"is_top_pay":false},"html_url":"https://alion.io/job/general-motors-senior-data-engineering-vehicle-data-operations","json_url":"https://alion.io/job/general-motors-senior-data-engineering-vehicle-data-operations.json","meta":{"generated_at":"2026-10-18T19:10:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23576,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1705},"rest":"https://alion.io/mcp/rest/get_company?id=1705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-motors-senior-data-engineering-vehicle-data-operations"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgeneral-motors-senior-data-engineering-vehicle-data-operations"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgeneral-motors-senior-data-engineering-vehicle-data-operations"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/general-motors-senior-data-engineering-vehicle-data-operations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-motors-senior-data-engineering-vehicle-data-operations"}]}