Data Engineer
The candidate will build production-grade data pipelines and lakehouse architectures. They will focus on processing policy and claims data within the insurance sector.
- Hybrid
- Vancouver, BC
- Posted Aug 24, 2026
- Apply by Sep 23, 2026
- 1 position
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Job summary
Data Engineer - Vancouver BC Level: Senior Consultant Start Date: Sept. 21 Duration: 6 months Hours: Full-time 40/hrs /week Location: Hybrid - 2-3 days per week onsite in Vancouver, BC Travel - N/A Languages: English Rate: $70-90/hr estimate Must-have insurance experience is a firm requirement, particularly direct experience with policy and claims data Strong hands-on experience with Microsoft Fabric and/or Databricks Azure data engineering experience Strong SQL and Python/PySpark skills Experience building production-grade data pipelines and lakehouse architectures Preferred Insurance or financial services experience Experience across both Fabric and Databricks Experience with agentic engineering or AI-assisted software delivery You must currently reside in the Vancouver BC area We do not sub contract No agencies please
What you’ll do
The candidate will build production-grade data pipelines and lakehouse architectures. They will focus on processing policy and claims data within the insurance sector.
Requirements
Must have firm experience in insurance data and proficiency with Microsoft Fabric, Databricks, and Azure. Strong skills in SQL, Python, and PySpark are required, and the candidate must reside in Vancouver, BC.
Listed skills
- SQLPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Microsoft Fabric
- Databricks
- Azure Data Engineering
- SQL
- Python
- PySpark
- Data Pipeline Construction
- Lakehouse Architecture
- Insurance Domain Knowledge
- Agentic Engineering
- AI-assisted Software Delivery
Job areas
- Data & Analytics
- Technology
- Consulting
- Software
- Finance & Accounting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 23, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 3 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
