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DevOps & Site reliability Engineer
TMC Canada
Montreal, QC
Full-time
Join the Operations Technology team to design, automate, deploy, and support reliable application platforms and CI/CD capabilities. You'll work closely with development, infrastructure,…
STAFF ENGINEER - HYBRID
Green Shield Canada
Toronto, Ontario
Partner effectively with Product, Design, Data, Security, Operations, and engineering leadership to align on goals, surface risks early, and make trade-offs explicit.
Sr. Full Stack Software Engineer (Backend - AI products)
MedMe Health
Remote, Canada
$116,000 to $156,000 CAD / year
Full-time · Remote
Comfort operating production systems: debugging, incident response, monitoring, and follow-through
Sr. Full Stack Software Engineer (Backend - AI products)
MedMe Health
Remote, Canada
$110,000 to $156,000 CAD / year
Full-time · Remote
Comfort operating production systems: debugging, incident response, monitoring, and follow-through
Staff Analytics Engineer
ecobee
Toronto, Ontario
Full-time
Own production operations for critical data flows (incident response, runbooks, root cause analysis) against defined SLOs
Staff Analytics Engineer
Generac Power Systems
Remote, Canada
Full-time · Remote
Own production operations for critical data flows (incident response, runbooks, root cause analysis) against defined SLOs
HSE Director New Build
AtkinsRéalis
Mississauga, ON · Ottawa, ON · Laval, QC
Full-time
As our HSE Director at Candu, you will have the opportunity to lead transformative safety initiatives in a dynamic, growth-oriented environment. Your expertise will shape the future of our…
Added 1 day ago
Cloud Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We're not looking for someone who just knows Kubernetes, Kafka, Elasticsearch, and Redis. We're looking for a Senior Engineer who treats AI-assisted engineering as a core skill - someone…
Software Engineer, Detection (TOR)
Doppel
Toronto, ON
$157,000 to $367,000 CAD / year
Full-time
Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation,…
Software Development Manager, AWS Payments Experience team
Amazon Web Services (AWS)
Vancouver, BC
Full-time
Establish and maintain high operational standards, including on-call processes, monitoring, and incident response
Staff Software Engineer, Platform
Found
Remote, Canada
Full-time · Remote
Our engineering team is responsible for taking products from ideation to being used by tens of thousands of users every week. We're responsible for everything from building the product to…
Staff Site Reliability Engineer
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
Participating in on-call rotation and incident response.
Full Stack AI Engineer
Scispot
Remote, Canada
$80,000 to $120,000 USD / year
Full-time · Remote
Improve EKS infrastructure, automated tests, telemetry, incident response, and system reliability as Scispot grows.
Senior Software Engineer, Platform
PocketHealth
Toronto, Ontario
Full-time
An interest in working with AI-assisted tools across the full lifecycle (development, operations, and incident response)
Junior DevOps Specialist
CGI
Toronto, ON
Full-time
As a DevOps Engineer on our team, you will drive key technical initiatives across the business, bridging the gap between software development and infrastructure operations. This role…
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia
Montreal, Quebec · Canada - Quebec - Montreal
Full-time
…company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel…
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
Full-time
…company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel…
Fire Standards Specialist
Canadian Nuclear Laboratories
Local Government District of Pinawa, Manitoba · Pinawa, MB
Full-time
University graduation in engineering or applied science from a university of recognized standing or a combination of education and experience in emergency management, fire operations, or…
Sr. Professional Engineer
Calian in Space & Technology
Ottawa, ON
Full-time
Calian is looking for a Senior Professional Engineer for their client. Their client is responsible for the procurement and sustainment of a wide array of equipment fleets for the…
Professional Engineer
Calian Group
Ottawa, ON
Full-time
Calian is looking for a Senior Professional Engineer for their client. Their client is responsible for the procurement and sustainment of a wide array of equipment fleets
Software Engineer - Systems administration (Linux/Windows)
TimePlay
Toronto, ON
$80,000 to $120,000 CAD / year
Full-time
Participate in on-call rotations, handle incident response, and provide occasional after-hours or weekend support for live events or urgent issues.
IT Infrastructure Manager, Cloud Platform
Confluence Technologies
Toronto, Ontario
Full-time
This role suits someone currently operating as a Cloud Platform Manager, Lead Cloud Engineer or Infrastructure Manager in an enterprise or SaaS environment, who wants broader ownership. It…
AI Support Engineer - Toronto
OpenAI
Remote, Canada
$200,000 to $290,000 CAD / year
Full-time · Remote
OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first…
NOC (Tier 2) Analyst
MNP
Burlington, ON
Full-time
Collaborate with SOC analysts during integrated incidents, contributing infrastructure insights and supporting coordinated response efforts
NOC (Tier 2) Analyst
MNP
Burlington, Ontario
Full-time
Collaborate with SOC analysts during integrated incidents, contributing infrastructure insights and supporting coordinated response efforts

ecobee

Staff Analytics Engineer

Toronto, ON, Canada

Pay: The salary range for this role, based in Toronto, Ontario, Canada, is between $147,700 CAD - $191,900 CAD.
Job type: Full-time

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

The Staff Analytics Engineer will own and evolve the Silver and Gold layers of the lakehouse, applying dbt best practices and ensuring the delivery of trusted datasets. They will also drive alignment across various teams and maintain documentation for analytics engineering standards.

Requirements

Candidates should have deep hands-on expertise in DBT, strong data modelling skills, and proficiency in Python and SQL. Experience with GCP services and data quality governance is also essential.

Experience

5 to 10 years

Working hours

40 hours per week

Work arrangement

Hybrid

Days in the office

Skills

DBT
Data Modelling
Python
SQL
GCP
BigQuery
Dataflow
Cloud Storage
Apache Airflow
Data Quality
Governance
CI/CD
Git
GitHub
Data Privacy
Cloud Cost Optimization

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Long-Term Disability
Flexible Spending Accounts
Health Savings Accounts
Paid Time Off
Paid Holidays
Retirement Benefits

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineer
Data Platform
Lakehouse
Transformation Layer
Data Pipelines
Data Governance
Data Quality Frameworks
Schema Design
Metrics Layer
Technical Leadership
Mentorship
Data Contracts
Incident Response
Privacy Controls
Cloud Services
Orchestration Tools
Batch Processing
Real-Time Processing
Modular Development
Distributed Processing

Original job description

Hi, we are ecobee.

ecobee introduced the world’s first smart Wi-Fi thermostat to help millions of consumers save money, conserve energy, and bring home automation into their lives. That was just the beginning. We continue our pursuit to create technology that brings peace of mind into the home and allows people to focus on the moments that matter most. We take pride in making a meaningful difference to the environment, all while being part of the exciting, connected home revolution.

In 2021, ecobee became a subsidiary of Generac Power Systems. Generac introduced the first affordable backup generator and later created the category of automatic home standby generator. The company is committed to sustainable, cleaner energy products poised to revolutionize the 21st century electrical grid. Together, we take pride in making a meaningful difference to the environment.

Why we love to do what we do:

We’re helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. Our products and services work in harmony to provide comfort, efficiency, and peace of mind for millions of homes and businesses. While we’re proud of what we’ve done so far, there’s still a lot we can do - and you can be part of it.

Join our extraordinary team.

We're a rapidly growing global tech company headquartered in Canada, in the heart of downtown Toronto, with an office in Leeds, UK, and remote ecopeeps in the US. We get to work with some of North America and UK's leading professionals. Our colleagues are proud to bring their authentic selves to work, confident that what we do is grounded in a greater purpose. We’re always looking for curious, talented, and passionate people to join our team.

Who You'll Be Joining

The Business Intelligence team designs, maintains and improves the analytics infrastructure that informs decisions across the company. Analytics engineering is a core and growing investment, and this role sits at the center of that work.

The Staff Analytics Engineer is a deeply technical individual contributor who owns the transformation layer of the data platform, treats analytical data as a product, and drives how data is modeled, certified, and delivered. You define the standards, reusable patterns, and decision frameworks for the lakehouse silver and gold layers, and raise analytics engineering practice through mentorship and technical leadership

This role follows a hybrid schedule, with in-office work required on Wednesdays and Thursdays from our Toronto office to support collaboration, and flexibility to work remotely for the remainder of the week.

How You’ll Make an Impact: 

Transformation Layer Ownership

Own and evolve the Silver and Gold layers of the lakehouse using dbt
Apply dbt best practices across project structure, modular design, dimensional modeling, testing, and documentation standards
Publish curated, certified datasets (conformed dimensions, core metrics) that are reusable and trusted across teams
Design and maintain the semantic/metrics layer for standardized and consistent self-service analytics

Pipelines and Platform Collaboration

Design transformation workflows and contribute to end-to-end data pipelines
Partner with data engineering to align ingestion, schema design, and architecture with analytics needs
Monitor and optimize pipelines for performance, reliability, and cost efficiency
Data Quality, Governance, and Reliability
Implement robust data quality frameworks, testing, and observability (e.g., freshness, schema drift, accuracy, anomalies)
Define and maintain data contracts between producers and consumers (e.g., schema, SLOs, quality expectations)
Drive schema change management (versioning, backward compatibility, stakeholder communication)
Design and enforce classification and certification standards so consumers can discover and trust analytical assets
Ensure production reliability through SLO/SLI measurement, actionable alerting, and continuous improvement
Own production operations for critical data flows (incident response, runbooks, root cause analysis) against defined SLOs
Embed privacy and security controls in data models and pipelines (PII handling, masking, access controls, and compliance)

Cross-functional Leadership and Delivery

Drive alignment across Analytics, Product, Engineering, and business stakeholders on analytics data models and platform decisions
Surface technical constraints and trade-offs to inform delivery planning and long-term platform scalability
Translate business requirements into technical specs and deliver consumption-ready curated datasets and semantic models for downstream reporting
Maintain durable documentation for pipelines, models, architecture, and operating processes

Technical Leadership and Standards

Define and maintain analytics engineering standards for dbt development (modelling conventions, testing requirements, documentation, review expectations)
Hold code quality to a high bar through structured reviews focused on readability, modularity, testability, and standards compliance
Provide technical mentorship that elevates craft and quality across analytics engineering and analytical work
Evaluate and advocate for tools, patterns, and practices that improve platform reliability, scalability, and maintainability

What You’ll Bring to the Table: 

Deep hands-on DBT expertise: modular, tested, well-documented models; project structure at scale
Strong data modelling skills (dimensional modelling, star/snowflake) and warehouse optimization
Proficiency in Python and SQL for building and troubleshooting transformation code and pipelines
Experience owning a semantic or metrics layer as a shared product that standardizes business logic across tools and teams
Hands-on experience with GCP services, including BigQuery, Dataflow, and Cloud Storage and lakehouse layer interaction
Production experience with orchestration tools such as Apache Airflow or Cloud Composer
Experience designing solutions for both batch and real-time processing
Strong command of data quality and governance, including data contracts, observability, and SLO-driven operations
Practical application of data-as-a-product principles, including discoverability, lineage, quality guarantees, and versioning
Proficiency with CI/CD practices, Git and GitHub, and modular development workflows
Distributed processing familiarity (Spark/Kafka) and credible partnership with data engineering on end-to-end design
Working knowledge of data privacy requirements and technical controls (PII handling, masking, encryption, retention, and access controls)
Familiarity with cloud cost optimization across compute, storage, and query patterns
Proven ability to influence across engineering, analytics, and business through technical credibility and clear communication; ability to explain architecture trade-offs to non-technical stakeholders

Just so you know: The hired candidate will be required to complete a background check

What happens after you apply:

Application review. It will happen. By an actual person in Talent Acquisition. We get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status.

Interview Process:

Round 1: 30-minute phone call with a member in Talent Acquisition
Round 2: 75-minute video interview with the Hiring Manager covering technical, behavioral, and situational questions to evaluate your qualifications and fit for the role
Round 3: 90-minute video interview with team members to delve into your technical expertise and experience
Final Interview: 45-minute video interview with the VP

Generac is committed to fair and equitable compensation practices. The salary range for this role, based in Toronto, Ontario, Canada, is between $147,700 CAD - $191,900 CAD. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, certifications and geographic location. This role is eligible for variable compensation, including short-term and long-term incentives.

This position includes a comprehensive benefit package that includes medical, dental and vision plans; life, long-term disability, flexible spending and health savings accounts, accrued paid time off, paid Holidays (10 for Ontario, 11 for British Columbia) and RRSP retirement benefits.

The Company is committed to improving accessibility for Canadian with disabilities and to ensuring that all our employees and applicants have the support and the tools they need to succeed. We have developed policies relating to human rights, accessibility, and accommodation, and provide all our employees with training on accessibility including under provincial legislation such as the Accessibility for Ontarians with Disabilities Act, 2005, either during orientation and/or on an ongoing basis. If you feel you need accommodation in relation to a disability in the application process or in the future, or have a question or concern about our policies, please reach out to [email protected]

Physical Demands (Applicable in the USA and Canada): While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.

Accessibility Statement (Applicable in the United Kingdom): The Company is committed to improving accessibility for employees and applicants with disabilities and to ensuring that they have the support and the tools they need to succeed. We have developed policies relating to human rights, accessibility, and accommodation, in line with the Equality Act 2010. If you feel you need consideration of ‘reasonable adjustments’ where possible relation to a disability in the application process or in the future, or have a question or concern about our policies, please reach out to [email protected].

“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”

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