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Added 17 days ago
TC
Data & Analytics Solutions Architect - Hadoop
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 17 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Develop predictive and descriptive analytical models using SAS, Python and SQL in cloud environments.
Added 17 days ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 17 days ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
SQL (advanced), Python or Scala (intermediate)
Added 17 days ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
SQL (advanced), Python (intermediate), Scala (nice to have)
Added 18 days ago
B
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
- $17.95 to $31 CAD / hour
- Volunteer
You bring strong programming and development foundations in Python, SQL, React, Next.js, TypeScript, HTML, CSS, and Git.
Added 18 days ago
DI
Full Stack Developer – AI Python SQL Vue.js (1796) $75-80hr
Direct IT Recruiting Inc.
Toronto, ON
- $75 to $80 CAD / hour
- Contract
SKILLS: Full Stack Development, Generative AI, Python (FastAPI), Vue.js, AKS, RAG Pipelines, Multi-Agent Orchestration, LangGraph, Microsoft Agent Framework, Docker, Kubernetes, CI/CD, SQL,…
Added 18 days ago
T
Senior Specialized Finance Analyst – TDS Finance Capital and Liquidity Management
TD
Toronto, ON
- Full-time
Lead automation and process optimization initiatives across OSFI Capital reporting, leveraging tools such as Python, SQL, Power BI, Alteryx, and Power Query to improve efficiency,…
Added 18 days ago
B
Senior Data Quality Analyst
BDO
Calgary, AB · AB · Halifax, NS · Regina, SK
- Full-time
…and will require advanced analytical skills, proficiency in SQL and Python, business process insight, and the ability to work collaboratively with data stewards and other stakeholders. The…
Added 18 days ago
B
Senior Data Quality Analyst
BDO
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…and will require advanced analytical skills, proficiency in SQL and Python, business process insight, and the ability to work collaboratively with data stewards and other stakeholders. The…
Added 18 days ago
D
Data Scientist
Dexian
Toronto, ON · Greater Toronto Area, Canada
- $80 to $115 CAD / hour
- Contract
2.) Expert knowledge of Python, Pyspark, Data Bricks, Azure and SQL are essential
Added 18 days ago
T
Business Insights Analyst II
TD
Toronto, ON · Montreal, QC
- Full-time
Strong coding skills in SQL and Python, including data preparation, analysis, automation, and quality-control routines.
Added 18 days ago
T
Oracle / PostgreSQL Database Administrator
TD
Mississauga, ON · Toronto, ON
- Full-time
Act as a senior escalation point for Severity 1, Severity 2, and high-impact production incidents.
Added 18 days ago
NB
SAS Viya System Administrator
National Bank of Canada
Montreal, QC
- Full-time
Within the STAD (Cross-Functional Solutions, Acceleration and Data) sector, you will report to the Senior Director, Analytical Asset Management. You will work in a technology-driven…
Added 18 days ago
T
Oracle / PostgreSQL Database Administrator
TD
Mississauga, ON
- Full-time
Act as a senior escalation point for Severity 1, Severity 2, and high-impact production incidents.
Added 18 days ago
UO
ERP System Administrator - Information Technologies
University of Calgary
Calgary, AB
- Full-time
Maintains PUM, DMO, development, and test environments using approved procedures and coordinates readiness with developers, analysts, and senior technical staff.
Added 18 days ago
PF
Full Stack Engineer
PEOPLE FORCE CONSULTING INC
Quebec, QC
- Contract
People Force is looking for a Senior Full Stack Developer – Angular for a 1 year contract role with one of our client. This position is a hybrid position with onsite presence at our…
Added 18 days ago
A
Manager, Data Engineering
Avanade
Toronto, ON
- Full-time
Lead the development of data and analytics platforms, real time intelligence and reporting solutions using Python, SQL, Microsoft Azure Data Services, Fabric and Databricks.
Added 18 days ago
H
Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
Design, build, and support scalable data pipelines using Azure Databricks, PySpark, Python, and SQL.
Added 18 days ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
2.) Expert knowledge of Python, Pyspark, Data Bricks, Azure and SQL are essential
Added 18 days ago
ZC
Automation Engineer
Zurich Canada
Toronto, ON
- Full-time
Assist in integrating automated testing into CI/CD pipelines under the guidance of senior team members.
Added 18 days ago
Platform Engineer
Scotiabank
Toronto, ON
Guidance and Collaboration: Work closely with senior engineers and platform leads to understand goals, deliver assigned tasks, and support team objectives. Contribute to platform…
Added 18 days ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise wide strategic initiatives.…
Added 18 days ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
General Motors is seeking a Senior Software Developer to build and evolve the software platforms that support production mapping, Data Over the Air (DOTA) Back Office capabilities, and…
Added 18 days ago
GM
Senior Data Engineering, Vehicle Data Operations
General Motors
Markham, ON · Oshawa, ON
- Full-time
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…

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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