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2 дня назад

Senior Data Engineer (AI)

140 000 - 170 000CAD
Формат работы
remote (только Canada)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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