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Added 12 hours ago
Senior Software Engineer II (Full Stack), Analytics & Automation (Remote Canada)
Optro
Remote, Canada
$164,000 to $225,500 CAD / year
Full-time · Remote
We are looking for a highly motivated senior software engineer who can lead large, strategic, and complex projects. This position demands a high level leadership, mentoring other engineers…
Added 12 hours ago
Lead Data/Analytics Engineer
Dutch
Vancouver, BC
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 2 days ago
Professional Senior, Engineering, Data Engineer, Data Analytics
Bombardier
Dorval, QC
Full-time
Job Professional Senior, Engineering, Data Engineer, Data Analytics
Added 2 days ago
Senior Analytics Engineer
Faire
Toronto, ON
The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data…
Added 8 days ago
Senior Analytics Engineer, Workbench
Fulfillment IQ
Toronto, ON
$125,000 to $160,000 CAD / year
Full-time
Job Title: Senior Analytics Engineer, Workbench
Added 3 days ago
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Sr. Analytics and Automation Engineer - Focus on Micro segmentation Policy-as-a-Code.
Added 3 days ago
Investment Tech/Data & Analytics - Software Engineer Co-op Internship (Winter 2027 or Winter & Summer 2027)
BCI
Victoria, BC · CA Victoria
Full-time
…Management Corporation (BCI) is currently seeking a Software Engineer Co-op/Intern to support our Investment Tech and D&A team and the team’s internal…
Added 3 days ago
Lead Data/Analytics Engineer
dutch
Vancouver, BC
Full-time
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 4 days ago
Risk Observability & Analytics Engineer
Capgemini
Montreal, QC
Engineer observability solutions that proactively monitor configuration changes, control performance, operational trends, risk signals, and testing outcomes.
Added 4 days ago
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
Full-time
…manual, messy processes into repeatable automation. As the Analytics Engineer, Risk, you’ll join the Model Development team within Risk, working closely with the Manager, Model Development,…
Added 5 days ago
Senior Analytics Engineer, Enterprise Analytics & Advisory
CIBC
Toronto, ON
Full-time
As a Senior Analytics Engineer, you will be a key member of the Enterprise Analytics and Advisory team, working with business partners and stakeholders from various Strategic Business Units…
Added 15 days ago
Business Intelligence Engineer II, Talent Acquisition Analytics
Amazon
Vancouver, BC
Full-time
As a Business Intelligence Engineer, this is your opportunity to be at the intersection of data, analysis, hiring, and strategy that will make it possible for our teams to fulfill that…
Added 15 days ago
Senior Analytics Engineer
Toptal
Toronto, ON · Greater Toronto Area, Canada
$30 to $50 USD / hour
Contract
A leading player in the real estate financing space is looking for a Senior Analytics Engineer to join their team on a one-year contract. This is an opportunity to work at the intersection…
Added 17 days ago
Analytics Engineer
Create Music Group
Canada
The Analytics Engineer will be part of our Analytics & Insights team and partner closely with stakeholders and internal data teams to translate business needs into scalable analytics…
Added 21 days ago
IT Business Systems Engineer - Collaboration Tools & Analytics /Spécialiste des systèmes d'affaires TI - Outils de collaboration et analytique
TD SYNNEX North America
Mississauga, ON
$70,000 to $85,000 CAD / year
Full-time
Added 22 days ago
BI / Analytics Engineer
Hydro One
Toronto, ON
$80 to $95 CAD / hour
Contract
Mission: Turn governed data into trusted analytics, dashboards, and self-service reporting for the business.
Added 19 days ago
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 18 days ago
Analytics Engineer
Canadian Unicef Committee
Toronto, ON
$90,000 to $105,000 CAD / year
Full-time
We are seeking a talented individual for the role of Analytics Engineer.
Added 23 days ago
Analytics Engineer - Senior Consultant or Consultant
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Job Title: Analytics Engineer - Senior Consultant or Consultant
Added 19 days ago
Analytics Engineer
MCDOUGALL ENERGY INC
Sault Ste. Marie, ON
Full-time
McDougall Energy is seeking a detail-oriented and motivated Analytics Engineer to join our Business Analytics & Reporting team. Reporting to the Manager, Business Analytics and Reporting,…
Added 24 days ago
Senior Data & Analytics Engineer (Platform Engineer - 12 month temp)
BCI
Vancouver, BC
Temporary
BCI's Data and Analytics platform drives decisions across 75% of the organization, and we are looking for a Senior Data and Analytics Engineer (Platform) who can step in and own it. Based…
Added 23 days ago
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
Product Analytics is building self-service tools and operating AI agents that influence product development; agents that monitor product health, surface anomalies, analyze user behavior,…
Added 1 month ago
Lead Analytics Engineer
Innodata Inc.
Canada
$130,000 to $150,000 CAD / year
Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 26 days ago
Senior Analytics Engineer (m/f/d)
AutoTrader.ca
Toronto, ON
As a Senior Analytics Engineer, you will be a senior technical contributor within the Analytics Engineering team and help shape the data foundations behind reporting, self-service…
Added 1 month ago
Senior Frontend Engineer (Analytics Product Lead)
Capital Markets Gateway
Canada
Full-time
…technology, and connectivity. As the preferred source for ECM analytics and the first network connecting the buy-side and sell-side for ECM workflows, we are committed to reshaping how…

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
Posting language: English
Posted: Jun 12, 2026

Apply About employer

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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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More about this job

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.

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

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