Thumbtack
Thumbtack

501-1000 employees

WebsiteLinkedIn
Internet
Marketplace
Home Services
Technology
About Thumbtack

Thumbtack is an online local services marketplace that connects customers with local professionals for a wide range of projects including home improvement, wellness, events, and lessons. Founded in 2008, the company’s mission is to make it seamless for consumers to find and hire trusted local experts while providing professionals with tools to grow their businesses. Thumbtack leverages technology to simplify the process of discovering, comparing, and booking services, positioning itself as a leading platform in the home services and local marketplace industry. With a strong focus on user experience and service quality, Thumbtack serves millions of customers and thousands of service providers across the United States.

4 months ago

Data Platform Engineer

Full-time
Mid Level
Data Platform Engineer
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Description
  • Thumbtack helps millions of people confidently care for their homes by providing personalized guidance, AI tools, and a seamless hiring experience.
  • The Data Platform team builds systems that make data reliable, discoverable, and actionable, supporting analytics, machine learning, and product teams.
  • The role involves designing platform architecture, building core infrastructure such as ingestion pipelines and observability tools, championing data quality standards, and improving developer experience.
  • The engineer will mentor teams, influence architecture decisions, and balance tradeoffs between speed, reliability, and cost.
  • The ideal candidate has 8+ years of experience in data systems, proficiency in SQL and Python, and deep knowledge of modern data stacks like BigQuery, Snowflake, Airflow, and dbt.
  • The role is remote, with a salary range of $221,000 - $286,000 for candidates in Ontario and British Columbia.

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Benefits
  • Remote work flexibility.
  • Competitive salary range of $221,000 - $286,000 (for Ontario and British Columbia).
  • Opportunities to work on impactful data systems supporting business growth.
  • Collaborative team environment focused on data quality and innovation.
  • Inclusion and diversity commitment.