2 дня назад
Senior Data Engineer (AI)
140 000 - 170 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI): Building and operating Databricks data lakes, streaming ingestion, data services, and AI data infrastructure for insurance automation with an accent on data quality, multi-tenant isolation, and regulated-data management. Focus on designing embedding pipelines and vector stores, implementing reliable CDC and observability, and mentoring engineers on data best practices.
Location: Vancouver, Canada; hybrid or remote. Work anywhere in the world for up to 60 calendar days per year.
Base pay: CAD 140,000–170,000 per year, depending on experience.
Company
builds vertically focused AI automation for insurance agencies and brokerages, helping modernize insurance operations and client service.
What you will do
- Own the Databricks data lake, dbt models, medallion layers, incremental and backfill strategies, partitioning, freshness, and quality monitoring.
- Build CDC and streaming ingestion from HubSpot, Langfuse, Postgres, and DynamoDB with idempotency and deduplication.
- Own data services, schemas, migrations, versioned APIs, provenance, audit trails, testing, and observability.
- Build AI data infrastructure, including embedding pipelines, vector stores, retrieval knowledge bases, feature stores, and LLM observability.
- Develop cloud databases, improve data retrieval, optimize analytics dashboards, and maintain data management and security policies.
- Collaborate with software, AI/ML, data science, product, and business teams while mentoring engineers in data best practices.
Requirements
- 4–6 years of professional data engineering experience.
- Experience owning databases, data pipelines, backends, and system integrations.
- Proficiency in Python and SQL, data modeling, medallion architecture, star schema, or Snowflake schema.
- Experience designing multi-tenant systems with hard isolation requirements and handling PII or regulated data.
- Hands-on experience with AWS, Azure, or GCP and pipeline tools such as dbt, Databricks Workflows, Airflow, Dagster, CDC tooling, or AWS Step Functions.
- Experience supporting AI products, data visualization, and data governance.
Nice to have
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Computer Engineering, or a related discipline.
- Experience communicating technical designs and product strategy to senior leadership.
- Experience building and hydrating vector databases such as Pinecone or AWS Bedrock Knowledge Bases.
Culture & Benefits
- Direct access to leadership, meaningful ownership, and a fast-moving environment.
- Employee stock options subject to a standard vesting schedule.
- Comprehensive health benefits, including a $500 Lifestyle Spending Account.
- Four weeks of paid vacation per year.
- Parental leave top-ups of six months for birthing parents and eight weeks for non-birthing parents, up to a $100,000 annual salary.
- Work anywhere in the world for up to 60 calendar days per year.
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