{"id":1718077,"url":"https://alion.io/job/quandri-senior-data-engineer","title":"Senior Data Engineer","company":{"id":7281,"name":"Quandri","domain":"quandri.io","url":"https://alion.io/company/quandri","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vancouver, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":170000,"currency":"CAD","period":"year","gross":null,"usd_annual":119481},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"DynamoDB","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS Bedrock","optional":true},{"name":"Pinecone","optional":true}],"status":"live","first_seen_at":"2026-10-01T19:04:26Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-11T23:59:22Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Who we are\nOur 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.\nFor 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. For insurance practitioners, the ability to deliver this level of service finally becomes possible.\nWhat we do\nQuandri brings deeply specific, vertically-focused AI to the industry’s most critical stakeholders:insurance agencies and brokerages.\nAgents 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.\nQuandri sits at the cutting edge of this shift, rebuilding how agencies operate one workflow at a time. We pair a deep understanding of insurance processes, systems, and data with serious technical capability and proprietary models, so the transformation is tangible and operational rather than aspirational.\nWe’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.\nWhy join us?\nYou'll join a fast-moving team with real ownership, direct access to leadership, and a genuine hand in shaping the company's next chapter.\nWe are headquartered in beautiful Vancouver, BC, backed by leading US and Canadian investors, and the recognition has followed:\nLinkedIn’s Top Canadian Startups in 2024 & 2025\n\nDeloitte’s Fast 50\n\nCB Insights’ Insurtech 50 and Fintech 100\n\nThe Globe and Mail’s Top Growing Companies in Canada.\n\nWhat you’ll do:\nOwn the Databricks data lake end to end, dbt models, medallion layers, incremental and backfill strategy, partitioning, freshness, quality monitoring.\n\nStand up CDC and streaming ingestion from HubSpot, Langfuse, Postgres, and DynamoDB into the data lake, with idempotency and dedup handled.\n\nOwn data services, schema and migration strategy, versioned APIs, provenance and audit trails, the tests and observability behind them.\n\nBuild AI data infrastructure, embedding pipelines, vector stores, retrieval knowledge bases, feature stores, LLM observability.\n\nDevelop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.\n\nMaintain data management and security policies.\n\nWork with software/AI/ML engineers, data scientists, product, and business units to align on requirements, communicate technical concepts clearly to non-technical stakeholders.\n\nGuide and mentor engineers in data best practices.\n\nThe right person for this role will have:\nAt least 4 to 6 years of professional data engineering experience.\n\nDemonstrated 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.\n\nProficiency in Python (Preferred) and SQL.\n\nExperience designing multi-tenant data systems with hard isolation requirements, and handling PII or other regulated data.\n\nProficiency in data modeling, medallion architecture, star schema, or Snowflake schema.\n\nHands on experience with cloud platforms like AWS, Azure, or GCP.\n\nExperience 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.\n\nProficiency in data visualization tools such as Databricks SQL dashboards or Tableau / Power BI equivalent.\n\nExperience building or supporting AI products\n\nProficiency in data governance\n\nBonus points if you have:\nBachelor's or Master’s degree, preferably in Computer Science, Data Engineering, Computer Engineering, or related technical discipline; or equivalent experience.\n\nExperience in communicating with senior leadership to collect requirements, describe software product features, technical designs, and product strategy\n\nExperience with building and hydrating vector databases like Pinecone, or AWS Bedrock Knowledge Bases\n\nOur guiding principles:\nCustomers at the core. We put the customer at the center of all we do. At a basic level, we believe business success comes down to talking to customers and building something they want. We don’t listen to customers and just take what they say blindly, but we think critically about it and build what they need. Customers are the core of everything we do, and our business exists to serve them. We prioritize their needs over all else within the company.\n\nMove with urgency. There are times when we need to move slowly and deliberately, but we default to acting fast and with urgency. We slow down when necessary, but this should be a deliberate choice. Businesses become more lethargic as they grow, this principle is designed to fight this fact.\n\nBe curious. We understand the world by being curious and asking why. We aren’t satisfied with surface level understanding, and seek a deeper understanding of why things are the way they are. Don’t take someone’s word for it or the answer “because that’s how we do it.” Understand why and dig deep.\n\nExcellence in execution. We know that what separates good from great is a high level of execution. We commit ourselves to excellence in everything that we do, from delivering an amazing product to writing a great email.\n\nAct like an owner. We’re all owners of the business and act like it. We follow through on commitments, own our results and think long-term.\n\nFight for simplicity. The law of increasing functional information states that systems evolve to become more complex over time. At Quandri, we believe there is sophistication in simplicity; as such, we intentionally fight for streamlined solutions and are committed to the uncomplicated.\n\nAI-first. We believe AI is a fundamental shift in how work gets done, not just a tool we occasionally reach for. At Quandri, we lead with AI, in how we build our product, how we run our operations, and how we think about every process and workflow. This isn't about replacing people; it's about unlocking them to do higher-value work.\n\nCompensation and Benefits:\nThe range for base pay is $140k - $170k which is dependent on level of experience\n\nEmployee stock options, granted based off experience level upon hire and subject to a standard vesting schedule\n\nEmployee stock options based on experience level\n\nComprehensive health benefits, including $500 Lifestyle Spending Account\n\nFour weeks of paid vacation per year\n\nWork anywhere in the world for 60 calendar days of the year\n\nParental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary)\n\nQuandri 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.\nDon’t let imposter syndrome stop you from applying. Great people sometimes don’t have the “right” experience. 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