Data Engineer

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* Job Description:

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* Job Title:

** Data Engineer
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* Location:

** Remote | Canada
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* Reports to:

** Sr. Manager - Data Engineering & Data Science
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* Employment Type:

** Full-time

This is an existing vacancy     
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* 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.

You’ll 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 products. In 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/Big Query platform during the transition), in which you’re 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…