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Added 10 mins ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
…develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes, implementing AI capabilities, integrating enterprise systems, and creating…
Added 10 mins ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
14+ years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.
Added 10 mins ago
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Terraform Developer
Themesoft Inc.
Halifax, NS
- Contract
Familiarity with modern cloud data engineering platforms such as Databricks and Snowflake is required, including query federations and fundamental data engineering concepts. You will…
Added 10 mins ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Senior years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.
Added 10 mins ago
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Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Good years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Added 10 mins ago
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Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Demonstrated experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering, with a proven track record of delivering…
Added 10 mins ago
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Software Developer (Automation & Integration)
Litens Automotive Group
Concord, ON
- Full-time
The Software Developer will work with software, firmware, validation, hardware, project, and business teams to design, develop, maintain, and improve AI-enabled automation solutions. The…
Added 10 mins ago
TI
Data Scientist
TekStaff IT Solutions
ON · Ontario, Canada
- Contract
Fierce curiosity. A successful candidate is drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help…
Added 10 mins ago
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Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Python/Pyspark + Claude + SQL + APIs + Data & MLOps
Added 10 mins ago
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Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
The ideal candidate will possess a degree in computer science, engineering, data science, statistics, or a related field, along with 3 to 5 years of experience in delivering…
Added 10 mins ago
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Data Engineer
Lorven Technologies Inc.
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 12 mins ago
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Consultant Conversion - Lead Cybersecurity Ops: Job Level - Vice President
Morgan Stanley
Montreal, QC
- Full-time
…security incidents to ensure the organization's systems and data are protected from actual and potential threats or…
Added 12 mins ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work across highly regulated and high-stakes…
Added 12 mins ago
AI Intern, Applied & Agentic AI (December 2026 to April 2027)
ProCogia
Vancouver, BC
ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work across highly regulated and high-stakes…
Added 12 mins ago
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Test Automation Engineer (Python / Playwright / D365)
PLATO
Calgary, AB · BC · Vancouver, BC · Winnipeg, MB · Fredericton, NB · Halifax, NS · Ottawa, ON · Sault Ste. Marie, ON · Toronto, ON · Gatineau, QC · Prince Albert, SK · Regina, SK
- Full-time
The successful candidate will have strong experience in Python test automation, Playwright, API testing, and modern testing frameworks, with the ability to contribute to automation…
Added 12 mins ago
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Information Systems Specialist
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Red Lake, ON
- Full-time
Subject Matter Expert (SME) in the area of Data Centre technologies including Servers, Storage, Virtualization, Monitoring/Alerting, Backup and Recovery.
Added 27 mins ago
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Consultant - PySpark / Databricks Developer (Intermediate - Senior)
Electric Mind
Toronto, ON
- Full-time
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks…
Added 27 mins ago
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Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
- Full-time
Bachelor's degree (completed or in final year) in Software Engineering, Computer Science, Data Engineering, or a related technical field. New graduates are encouraged to apply.
Added 27 mins ago
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DevOps Analyst
TMX Group
Toronto, ON
- Full-time
…driven solutions provider that puts clients first. The DevOps Engineering team is responsible for working closely with various business units and stakeholders to solve complex problems…
Added 27 mins ago
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Data Scientist III
TD
Toronto, ON
- Full-time
Collaborate with Data Solutions, Data Engineering, and Technology partners to define detailed data curation requirements, business rules, data quality expectations, and enhancement…
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DevOps Analyst
TMX Group
Montreal, QC
- Full-time
…driven solutions provider that puts clients first. The DevOps Engineering team is responsible for working closely with various business units and stakeholders to solve complex problems…
Added 40 mins ago
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AI Automation Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We seek candidates with 2 or more years of experience in backend engineering, AI automation, or integrating complex systems.
Added 40 mins ago
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AI Agent Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
Added 40 mins ago
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WINTER 2027 INTERNSHIP - Quantitative Analyst Intern (Master’s/PhD)
RISC Foundation (Risk and Insurance Studies Centre)
Toronto, ON
- Contract
…and modelling skills to assess models incorporating financial engineering, risk management, and statistical…
Added 40 mins ago
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Data Engineer Databricks
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We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…

General Motors

Senior Data Engineering, Vehicle Data Operations

Markham, ON, Canada
Oshawa, ON, Canada

The salary range for this role is $115,000 to $164,600. · Full-time

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Job details

Pay: The salary range for this role is $115,000 to $164,600.
Job type: Full-time
Experience: 5+ years of experience building, deploying, or supporting software, data engineering, platform, or observability solutions.
Posting language: English
Posted: Oct 8, 2026

Original job description

Job Description

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.

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.

Non-Discrimination and Equal Employment Opportunities

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.

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

General 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.

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More about this job

Responsibilities

The candidate will build, operate, and improve software and data solutions to ensure vehicle data operations are reliable, observable, and scalable. They will collaborate with cross-functional teams to design data pipelines, monitoring dashboards, and automated workflows while maintaining high data quality standards.

Requirements

The role requires at least 5 years of experience in software or data engineering and a bachelor's degree in a relevant technical field. Proficiency in Databricks, SQL, and scripting languages like Python is essential for building and optimizing data solutions.

Skills

Data engineering
Databricks
SQL
Python
Bash
CI/CD
Git
Observability
Data pipelines
Dashboarding
Grafana
Datadog
Workflow orchestration
Software engineering
Data quality
Infrastructure-as-code

Benefits

Paid time off
Healthcare
Dental
Vision
Life insurance
Vehicle purchase plan

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Vehicle Data
Databricks
SQL
Python
Bash
CI/CD
Git
Observability
Grafana
Datadog
Azure
Data Pipelines
Workflow Orchestration
Infrastructure-as-code
Docker
Data Modeling
Data Lineage
Fleet Data
Telematics
Diagnostic Data
Software Development
Automation
Data Quality
Cloud Platforms
System Monitoring
Technical Documentation
Mentoring
Governance
Data Analytics

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