Senior Data Engineer in Vancouver

Our mission at Quandri is to transform insurance into a trusted and delightful experience using AI. We are building the AI operating system for North America’s best insurance agencies and brokerages. For the first time ever, we have the technology to fundamentally change how insurance operates, and the stakes are human. Better insurance means families protected from harm, businesses able to take risks, and communities more resilient when the worst happens.

Quandri brings deeply specific, vertically-focused AI to the industry’s most critical stakeholders: insurance agencies and brokerages. Agents are the lifeblood of the industry, the place where most property and casualty insurance is sold and serviced. Yet operating an agency is harder than ever. Peak product complexity, accelerating consolidation, a deepening talent crisis, and the AI revolution are all reshaping how agencies work. Quandri sits at the cutting edge of this shift, rebuilding how agencies operate one workflow at a time.

We’re making insurance better for policyholders, while helping insurance brokerages deliver a better client service, grow faster, and harness AI so that they control the future of insurance distribution.

Why join us? You'll join a fast-moving team with real ownership, direct access to leadership, and a genuine hand in shaping the company's next chapter. We are headquartered in beautiful Vancouver, BC, backed by leading US and Canadian investors.

What you’ll do:

• Own the Databricks data lake end to end, dbt models, medallion layers, incremental and backfill strategy, partitioning, freshness, quality monitoring.
• Stand up CDC and streaming ingestion from HubSpot, Langfuse, Postgres, and DynamoDB into the data lake, with idempotency and dedup handled.
• Own data services, schema and migration strategy, versioned APIs, provenance and audit trails, the tests and observability behind them.
• Build AI data infrastructure, embedding pipelines, vector stores, retrieval knowledge bases, feature stores, LLM observability.
• Develop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.
• Maintain data management and security policies.
• Work with software/AI/ML engineers, data scientists, product, and business units to align on requirements, communicate technical concepts clearly to non-technical stakeholders.
• Guide and mentor engineers in data best practices.

The right person for this role will have:

• At least 4 to 6 years of professional data engineering experience.
• Demonstrated experience with owning the maintenance and implementation of databases, data pipelines and backends with a focus on efficient data management and integration of system components.
• Proficiency in Python (Preferred) and SQL.
• Experience designing multi-tenant data systems with hard isolation requirements, and handling PII or other regulated data.
• Proficiency in data modeling, medallion architecture, star schema, or Snowflake schema.
• Hands on experience with cloud platforms like AWS, Azure, or GCP.
• Experience with tools like dbt, Databricks Workflows, Apache Airflow, Perfect, Dagster or equivalent, change-data-capture tooling, or AWS Step Functions for managing and automating data pipelines.
• Proficiency in data visualization tools such as Databricks SQL dashboards or Tableau / Power BI equivalent.
• Experience building or supporting AI products.
• Proficiency in data governance.

Bonus points if you have:

• Bachelor's or Master’s degree, preferably in Computer Science, Data Engineering, Computer Engineering, or related technical discipline; or equivalent experience.
• Experience in communicating with senior leadership to collect requirements, describe software product features, technical designs, and product strategy.
• Experience with building and hydrating vector databases like Pinecone, or AWS Bedrock Knowledge Bases.

Our guiding principles:

• Customers at the core. We put the customer at the center of all we do.
• Move with urgency. We default to acting fast and with urgency.
• Be curious. We seek a deeper understanding of why things are the way they are.
• Excellence in execution. We commit ourselves to excellence in everything that we do.
• Act like an owner. We follow through on commitments and think long-term.
• Fight for simplicity. We intentionally fight for streamlined solutions.
• AI-first. We lead with AI in how we build our product and run our operations.

Compensation and Benefits:

• The range for base pay is $140k - $170k which is dependent on level of experience.
• Employee stock options, granted based off experience level upon hire and subject to a standard vesting schedule.
• Comprehensive health benefits, including $500 Lifestyle Spending Account.
• Four weeks of paid vacation per year.
• Work anywhere in the world for 60 calendar days of the year.
• Parental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary).

Quandri is dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, Quandri adheres to Canadian labour laws and does not engage in discrimination based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other status protected under Canadian law.

Don’t let imposter syndrome stop you from applying. Great people sometimes don’t have the “right” experience. If you think that you’ll be amazing at this role then we encourage you to apply.