Senior Data Engineer

Thumbtack
Ontario
Workplace: RemoteFull timeUSD 180,200 - 233,200 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Collaboration","Stakeholder management","Data quality focus","Ownership","Evangelizing best practices"]

Design and maintain data sets, warehouses, data marts, and feature stores for product teams, with an embedded role on Thumbtack’s commercial operations side. Collaborate with engineers, analysts, data scientists, and machine learning engineers to integrate internal and third-party data, improve data quality and best practices, and build upstream data approaches across the SDLC. Leverage a modern cloud-native stack to deliver scalable analytics foundations and next-generation AI-assisted data products.

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FursaFursa
Thumbtack
Thumbtack
1 month ago

Senior Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 1 year ago

Job Summary

Design and maintain data sets, warehouses, data marts, and feature stores for product teams, with an embedded role on Thumbtack’s commercial operations side. Collaborate with engineers, analysts, data scientists, and machine learning engineers to integrate internal and third-party data, improve data quality and best practices, and build upstream data approaches across the SDLC. Leverage a modern cloud-native stack to deliver scalable analytics foundations and next-generation AI-assisted data products.
Location: Ontario
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Refine and evangelize a framework for integrating data-thinking into the software development lifecycle for product teams.
  • •Design, architect, and maintain core operations datasets, data marts, and feature stores supporting evolving product lines.
  • •Partner with cross-functional teams to understand data needs and design datasets with engineering rigor.
  • •Drive data quality and best practices across different business areas.
  • •Build next-generation data products, leveraging AI models for code generation and agent-enabled workflows.

Pay and Benefits

Salary: USD 180,200 - 233,200 annually

Key Requirements

  • •4+ years of experience designing and building data sets and warehouses.
  • •Excellent stakeholder collaboration to understand needs, especially Analytics, and identify cross-team process improvements.
  • •Expertise in SQL for analytics/reporting/BI and for building SQL- and Python-based transforms in an ETL pipeline.
  • •Experience designing, architecting, and maintaining a data warehouse and data marts that integrate data from production databases, clickstream data, and external APIs.
  • •Experience with a modern cloud-native data stack (BigQuery, dbt, Apache Airflow or similar) and using AI to accelerate data engineering workflows.
Experience:4+ yearsData engineeringData warehousingETLAnalyticsCloud data stack
Skills:CollaborationStakeholder managementData quality focusOwnershipEvangelizing best practices
Tech Stack:SQLPythonETLData warehouseData martsFeature storesBigQueryDbtApache AirflowClickstreamExternal APIsAICode generationAgents

Company Brief

Thumbtack
Provides an online marketplace connecting local service professionals (home improvement, events, lessons, and more) with customers seeking quotes, reviews, and booking tools to hire vetted contractors and providers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2008
WebsiteLinkedIn