BI Engineer
CAN - ON - Toronto (AutoVIN, OPENLANE, TradeRev)
- Pay
CAD 110,000–120,000/year — pay source
Compensation Range of Annual Salary: $110,000.00 - $120,000.00 CAD(Depending on experience, skill set, qualifications, and other relevant factors.)
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Java
- JavaScript
- Python
- SQL
- Excel
- Oracle
- Redshift
- Snowflake
- Scala
- SQL Server
Source — Tool mentions in context
- Strong experience in ETL/ELT development and data pipeline management - Proficiency in scripting languages (e.g., Python, JavaScript, Java, Scala) - Strong foundation in data modeling, governance, and structuring datasets for long-term use
We’re Looking For: We are seeking a Business Intelligence Engineer who is solutions-oriented, proactive, and thrives in ambiguity. This individual will not simply respond to requests but will lead initiatives, identify opportunities, and use data to unlock business growth. You will play a key role in maintaining data flow across systems, building scalable data models, and partnering across teams to inform decision-making. The ideal candidate will have 2+ years of experience in Business Intelligence and Data Warehousing, with deep expertise in SQL, data pipelines, visualization tools, and cloud-based data architecture. You Are:
- Partner with stakeholders in product, sales, and operations to ensure data quality, availability, and effective usage - Manipulate and transform large datasets using SQL and scripting languages to generate impactful business insights - Design, execute, and analyze A/B tests and other experiments to optimize strategies
- 2+ years of experience in Data Warehousing and Business Intelligence - Advanced SQL skills and experience with relational databases (e.g., Snowflake, Redshift, Oracle, SQL Server) - Strong experience in ETL/ELT development and data pipeline management
- Expertise in data visualization and dashboarding (Domo preferred) - Advanced spreadsheet skills (Excel, Google Sheets) - Self-starter with strong problem-solving and strategic thinking capabilities
Benefits in the posting
Full benefits wording- Competitive pay
- Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)
- Immediately vested 401K (US) or RRSP (Canada) with company match
- Paid Vacation, Personal, and Sick Time
- Paid maternity and paternity leave (US)
- Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US)
- Robust Employee Assistance Program
- Employer paid Leap into Service Day to volunteer
- Tuition Reimbursement for eligible programs
From the employer’s posting.
About Openlane Inc
At OPENLANE we make wholesale easy so our customers can be more successful.
In the employer’s words · Read in context
Job description
Who We Are:
At OPENLANE we make wholesale easy so our customers can be more successful.
We’re a technology company building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles.
We’re a data company helping customers buy and sell smarter with clear, actionable insights they can understand and use.
And we’re an innovation company accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit.
Our Values:
Driven Waybuilders. We pursue challenges that inspire us to build, create, and innovate.
Relentless Curiosity. We seek to understand and improve our customers’ experience.
Smart Risk-Taking. We transform risk into progress through data, experience, and intuition.
Fearless Ownership. We deliver what we promise and learn along the way.
We’re Looking For:
We are seeking a Business Intelligence Engineer who is solutions-oriented, proactive, and thrives in ambiguity. This individual will not simply respond to requests but will lead initiatives, identify opportunities, and use data to unlock business growth. You will play a key role in maintaining data flow across systems, building scalable data models, and partnering across teams to inform decision-making. The ideal candidate will have 2+ years of experience in Business Intelligence and Data Warehousing, with deep expertise in SQL, data pipelines, visualization tools, and cloud-based data architecture.
You Are:
Proactive. You take full ownership of your domain and drive action independently.
Insightful. You generate meaningful, data-driven insights that fuel decision-making.
Collaborative. You work closely with cross-functional stakeholders to solve complex problems and improve processes.
Technical. You have a strong command of data engineering, visualization, and analytical tools.
You Will:
Take ownership of the Business Intelligence domain, surfacing insights, solving problems, and driving data-driven decisions
Partner with stakeholders in product, sales, and operations to ensure data quality, availability, and effective usage
Manipulate and transform large datasets using SQL and scripting languages to generate impactful business insights
Design, execute, and analyze A/B tests and other experiments to optimize strategies
Apply data science fundamentals to build predictive models and trend analyses
Develop scalable data models, dashboards, and reports using tools such as Domo
Continuously improve data pipelines, infrastructure, and analytical capabilities
Mentor colleagues to enhance analytics capabilities and foster a data-driven culture
Who You Will Work With:
This role reports into the BI Manager and collaborates cross-functionally with Product, Sales, Operations, and Data Engineering teams. You will also work closely with senior leadership to support key strategic initiatives.
Must Have’s:
2+ years of experience in Data Warehousing and Business Intelligence
Advanced SQL skills and experience with relational databases (e.g., Snowflake, Redshift, Oracle, SQL Server)
Strong experience in ETL/ELT development and data pipeline management
Proficiency in scripting languages (e.g., Python, JavaScript, Java, Scala)
Strong foundation in data modeling, governance, and structuring datasets for long-term use
Expertise in data visualization and dashboarding (Domo preferred)
Advanced spreadsheet skills (Excel, Google Sheets)
Self-starter with strong problem-solving and strategic thinking capabilities
Nice to Have’s:
Experience working with DOMO specifically
Understanding of cloud-based data architectures and security best practices
Experience creating and implementing data governance strategies
Background in data science or machine learning application
Familiarity with API integrations and automation techniques
What We Offer:
Competitive pay
Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)
Immediately vested 401K (US) or RRSP (Canada) with company match
Paid Vacation, Personal, and Sick Time
Paid maternity and paternity leave (US)
Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US)
Robust Employee Assistance Program
Employer paid Leap into Service Day to volunteer
Tuition Reimbursement for eligible programs
Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization
Company culture of internal promotions, diverse career paths, and meaningful advancement
Sound like a match? Apply Now - We can't wait to hear from you!
Compensation Range of
Annual Salary: $110,000.00 - $120,000.00 CAD(Depending on experience, skill set, qualifications, and other relevant factors.)
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on openlane.wd115.myworkdayjobs.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation Range of Annual Salary: $110,000.00 - $120,000.00 CAD(Depending on experience, skill set, qualifications, and other relevant factors.)
- Location & working pattern
CAN - ON - Toronto (AutoVIN, OPENLANE, TradeRev)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 7, 2026
- Recorded sightings
- 3
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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