Data Engineer

Job Description:

Job Title: Data Engineer

Location: Remote Canada

Reports to: Sr. Manager - Data Engineering & Data Science

Employment Type: Full-time

This is an existing vacancy

About the Role:

JD Power is looking for a data engineer with excellent quantitative and analytical skills to help make our data AI-ready. Our ideal candidates are determined to use their skills to combine multiple data sources together and to add clear business meaning on top of them so that both people and AI applications can answer complex client questions around vehicle transactions incentives valuations market readiness and customer purchase decisions. Youll work hands on with data on Snowflake to build semantic views governed metrics and context layers that power AI assistants and agents and to improve and maintain existing capabilities.

We make data products that solve problems for the auto industry. Every data engineer will work on projects that go into production and directly impact new and existing this role your work decides whether our AI products give accurate traceable answers instead of guesses.

Grow as a data engineer as part of a medium sized team where data engineering and AI engineering meet. You will build data pipelines semantic views and context layers on Snowflake deploy them in the cloud and build monitoring & QA suites including tests for AI answer quality.

The team is an experienced set of creative thinkers who are uncovering new and emerging consumer dynamics in an industry starting to go through rapid disruption. We are moving our key data to Snowflake and making it AI-ready so our AI assistants and agents can give clients accurate trusted answers.

We want data engineer candidates who can monitor improve and create data processes independently and with an eye toward continuous improvement. We need the capability to leverage the right data sets efficiently from an impressive set of data assets that is unrivaled in this space. We also want someone who is curious about AI and who knows that AI is only as good as the data and business context behind it.

In this role you will:

• Daily immersion in automotive industry data
• Build and maintain the business context that makes data AI-ready: business terms glossaries metric definitions rules and hierarchies for a data domain (e.g. incentives pricing sales dealers) reviewed and approved by business owners
• Design build validate and publish governed Snowflake semantic views and a versioned metric registry so every application and AI agent uses one approved definition of each metric
• Help build canonical master data sets where multiple sources of truth exist today (e.g. master vehicle/VIN master dealer master incentives)
• Prepare unstructured content (PDF documents glossaries FAQs data dictionaries) for retrieval with Snowflake Cortex Search with metadata and source traceability
• Partner with AI engineers to connect semantic views metrics and search services to Cortex Analyst and Cortex Agents
• Design troubleshoot and execute repeatable data pipelines on Snowflake (and on our current Google Cloud/BigQuery platform during the transition) in which youre finding bottlenecks and ways to become incrementally more efficient. You own the reliability of these pipelines and the quality of the data they produce
• Collaborate with stakeholders to gather and understand data processing requirements with consistent proactive demonstration of business acumen and market dynamics
• Contribute meaningfully to new product development on top of production by executing independently to plans (and by influencing the plans themselves) for new features on existing products and for net-new products or approaches
• Lead end-to-end data engineering projects and mentor and guide junior data engineers
• Interdisciplinary work: youll interact with multiple teams across the firm to implement solutions and improve processes. This includes Customer Success Product Management Product Development Technology/Architecture Data Engineering Data Science AI Engineering Data Visualization etc.

Required Qualifications:

• Must have: strong hands-on proficiency in both Python and SQL. You use both every day to build test and debug production data pipelines
• Must have: proven production experience in designing building and running ETL/ELT pipelines that bring together data from multiple sources with ownership of their robustness and output data quality (e.g. idempotent jobs monitoring and alerting automated data quality checks)
• Software engineering background or experience is a plus: Git and code review automated testing CI/CD and modular reusable code
• Hands-on experience with Snowflake is strongly preferred (e.g. Snowpark Dynamic Tables role-based access control) and semantic views or Cortex experience is a big plus. Experience with other cloud platforms such as Google Cloud (BigQuery) AWS or Palantir is also valued
• Experience building semantic layers or governed metrics (e.g. Snowflake semantic views dbt Semantic Layer LookML AtScale Cube) with a strong base in dimensional modeling (facts dimensions grain)
• Working knowledge of how AI applications use data: retrieval-augmented generation (RAG) embeddings and vector search context and prompt design tool calling AI agents and MCP. Hands-on experience building an LLM application is a plus
• Familiarity with ontologies knowledge graphs data catalogs metadata management and data governance (e.g. access control PII handling lineage)
• Familiar with AI coding assistants (e.g. Claude Code Cursor GitHub Copilot) with hands-on experience using them in daily development work. You know their limits and you review and test the code they produce before it goes to production
• Experience resolving data issues in creative and effective ways. Business acumen and gut instincts to know when to say This doesnt seem reasonable.
• Independent professional who can take a vision and implement with limited instruction
• Bachelors degree (required) with a background in statistics machine learning computer science finance engineering or mathematics preferred
• An effective cross functional communicator in both written and verbal skills
• Ability and willingness to learn in a fast-paced environment with a resilient work ethic
• At least 5 yrs of professional experience with a Bachelors degree or 3 yrs with a Graduate degree as a full-time professional (non-academic) experience in data engineering and quantitative analytics contributing to business impact through data-driven solutions

Compensation and Benefits

This position has a starting salary range of $90000 - $100000 CAD per year. The range represents what we reasonably and in good faith expect to pay for the role at the time of posting. An employees pay within the range is determined by a number of factors including relevant skills education qualifications experience performance business or organizational needs and geographic location.

Eligible employees may participate in medical dental vision disability life insurance retirement savings programs paid time off wellness programs and other company-sponsored benefits. Benefits vary by country and employment status.

Why Join JD Power

JD Power powers auto-related decisions through proprietary data advanced analytics deep industry expertise and workflows that connect insight to action. Operating across North America Europe and Australia we help customers make better decisions and achieve better outcomes.

As a virtual-first company we offer flexible work arrangements opportunities for learning and development and a culture centered on the Values that guide how we work every day.

We power our customers success. Everything we do is focused on helping customers make better decisions and achieve better outcomes.

We are innovative collaborative and grounded in data. We combine advanced analytics with human expertise to deliver insight that holds up in the real world.

We make things easy. We turn complexity into clarity so teams can act faster and with confidence.

We get it done. We focus on execution accountability and results.

We start with trust and prove it every day. Independence integrity and credibility are the foundation of our work.

Equal Opportunity & Accommodations

JD Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race color religion sex national origin age sexual orientation gender identity gender expression veteran status or disability.

JD Power is committed to providing reasonable accommodations throughout the recruitment process for individuals with disabilities or other protected needs under applicable local laws. Please contact for accommodation request.

Data Privacy

JD Power does not disclose your personal data to unauthorized third parties. However as a global corporation consisting of multiple affiliated companiesin various countries JD Power has international sites and JD Power uses resources located throughout the world. JD Power may from time to time also use third parties to act on JD Powers behalf. You agree to the fact that to the extent necessary yourpersonal data may be transferred and/or disclosed to any company within JD Power group of companies as well as to third parties acting on JD Powers behalf including also transfers to servers and databases outside the country where you provided JD Powerwith your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are a California or United Kingdom resident additional disclosures about the information we collect and how we use that information can be found by clickinghere.

Applications

Candidates must be legally authorized to work in the country where employment is offered. JD Power does not provide employment sponsorship for this position.

This position is posted exclusively on and select trusted job boards such as LinkedIn or Indeed. All official communication comes from email addresses ending in @ or @. We will never ask for payment equipment purchases or upfront may take additional steps to verify candidate information to protect the integrity of our recruitment process.

To all recruitment agencies: JD Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.