Data Engineer

Job not on LinkedIn

🕒 October 9

🇨🇦 Canada – Remote

💵 $90k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚘 Automotive

🛡️ Insurance

💼 Consulting

Automotive • Insurance • Consulting

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• Combine multiple data sources and add clear business meaning to make data AI-ready • Build semantic views, governed metrics, and context layers on Snowflake • Build and maintain business context including terms, glossaries, metric definitions, rules, and hierarchies • Design, build, validate, and publish governed Snowflake semantic views and a versioned metric registry • Build canonical master datasets such as master vehicle/VIN, dealer, and incentives datasets • Prepare PDFs, glossaries, FAQs, and data dictionaries for retrieval with Snowflake Cortex Search • 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 Google Cloud/BigQuery during the transition • Own pipeline reliability and data quality • Gather and understand data processing requirements with stakeholders • Contribute to new product development, features, and net-new products or approaches • Lead end-to-end data engineering projects • Mentor and guide junior data engineers • Collaborate across Customer Success, Product Management, Product Development, Technology/Architecture, Data Engineering, Data Science, AI Engineering, and Data Visualization teams

🎯 Requirements

• Strong, hands-on proficiency in Python and SQL • Proven production experience designing, building, and running ETL/ELT pipelines from multiple data sources • Experience owning pipeline robustness and output data quality, including idempotent jobs, monitoring and alerting, and automated data quality checks • Software engineering background or experience is a plus, including Git, code review, automated testing, CI/CD, and modular reusable code • Hands-on Snowflake experience strongly preferred, including Snowpark, Dynamic Tables, and role-based access control • Experience with semantic layers or governed metrics and dimensional modeling • Working knowledge of RAG, embeddings and vector search, context and prompt design, tool calling, AI agents, and MCP • Familiarity with ontologies, knowledge graphs, data catalogs, metadata management, and data governance • Familiarity with AI coding assistants and hands-on daily development use • Ability to resolve data issues creatively and effectively • Independent professional able to implement a vision with limited instruction • Bachelor’s degree required; background in statistics, machine learning, computer science, finance, engineering, or mathematics preferred • At least 5 years of full-time professional experience with a Bachelor’s degree or 3 years with a Graduate degree in data engineering and quantitative analytics • Effective written and verbal cross-functional communication • Ability and willingness to learn in a fast-paced environment • Candidates must be legally authorized to work in the country where employment is offered • JD Power does not provide employment sponsorship for this position

🏖️ Benefits

• Medical, dental, vision, disability, and life insurance • Retirement savings programs • Paid time off • Wellness programs • Other company-sponsored benefits • Flexible work arrangements • Opportunities for learning and development

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