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Data Engineer

3 weeks ago
Canada
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow Dagster Databricks dbt GCP LLM Looker Machine Learning Python React Ruby Snowflake SQL Terraform TypeScript
Apply Now
Thinkific

Thinkific

Thinkific provides a comprehensive online course platform that enables independent experts and businesses to easily create, market, and sell their own online courses and membership sites, ensuring a seamless learning experience across various devices.

Internet Software & Services
251-1K
Founded 2012
$22M raised
View All Jobs 2

Description

  • Own ambiguous data problems by scoping work, defining solutions, and shipping end-to-end deliverables.
  • Build customer-facing analytics dashboards and features as production code.
  • Partner with engineering teams to implement tracking services across Thinkific’s products.
  • Translate cross-functional and sometimes unclear business needs into concrete data solutions.
  • Improve technical quality through architecture decisions, tech debt reduction, code reviews, and engineering best practices.
  • Research new technologies and help explore how AI can be integrated into data workflows.
  • Collaborate with designers, stakeholders, and other teams to deliver data products that support company goals.

Requirements

  • 3–5 years of experience across data engineering, full-stack development, analytics, or a combination of these areas.
  • Experience building and maintaining data pipelines, working with data warehouses, and understanding data modeling and data quality.
  • Experience shipping production code that users interact with.
  • Hands-on experience with dbt and BigQuery or similar tools such as Snowflake or Databricks.
  • Strong engineering fundamentals and comfort working across the stack and across disciplines.
  • Self-motivated, resourceful, and able to communicate clearly with technical and non-technical teams.
  • Willingness to learn and grow through professional experience, formal education, or building projects/businesses.
  • Nice to have: Experience with LLM or agent development for AI-powered data products or workflows.
  • Nice to have: Experience with GCP and Terraform.
  • Nice to have: Exposure to machine learning.
  • Nice to have: Experience white-labeling BI tools or embedding analytics in customer-facing products.
  • Nice to have: Experience building or maintaining event tracking systems.
  • Nice to have: Familiarity with other modern data stack tools such as Airflow or Dagster.
  • Nice to have: Experience working in startup-style environments, autonomous teams, or SaaS companies.

Benefits

  • Competitive compensation package with base salary, equity, team-wide bonuses, and an Employee Share Purchase Plan.
  • Salary range of $88,200 to $132,200, with most new hires starting between the minimum and midpoint.
  • Flexible Paid Time Off, including a minimum of 4 weeks of vacation, Thinker Holidays, and December holiday time off.
  • Comprehensive health benefits from day one, including health, vision, and dental coverage for employees and their families.
  • $3,000 for mental health care, plus a short-term health plan and a $900 annual health or personal spending account.
  • Generous parental leave top-ups for up to 32 weeks, plus fertility coverage and personalized return-to-work options.
  • 3 paid volunteer days each year.
  • Flexible work from home anywhere in Canada, at the Vancouver HQ, or from a co-working space.
  • Annual $2,000 CAD learning and growth fund, plus training, mentorship, coaching, and promotion opportunities.
  • Home office setup support, including a company-owned MacBook Pro and a budget for desk, chair, or accessories.

Interested in this position?

Apply directly on the company website

Apply Now

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