Senior Data Engineer

Thumbtack
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsSkills: ["Ownership","Collaboration","Data quality focus","Analytical thinking"]

Build and maintain datasets that power product teams, including core operations datasets, data marts, and feature stores. You’ll refine a framework for integrating data thinking into the SDLC, drive data quality across business areas, and work closely with analytics, data science, and ML teams. Leveraging a modern cloud-native stack (BigQuery, dbt, and Apache Airflow), you’ll also apply AI-enabled workflows to accelerate development and improve data engineering practices.

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FursaFursa
Thumbtack
Thumbtack
1 month ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live
Reposted: similar role first listed 1 year ago

Job Summary

Build and maintain datasets that power product teams, including core operations datasets, data marts, and feature stores. You’ll refine a framework for integrating data thinking into the SDLC, drive data quality across business areas, and work closely with analytics, data science, and ML teams. Leveraging a modern cloud-native stack (BigQuery, dbt, and Apache Airflow), you’ll also apply AI-enabled workflows to accelerate development and improve data engineering practices.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaboratively refine and evangelize a framework for integrating data thinking into the software development lifecycle for product teams.
  • •Design, architect, and maintain datasets including core operations datasets, data marts, and feature stores for product needs.
  • •Integrate with cross-functional partners to understand data needs and design datasets with engineering rigor.
  • •Drive data quality and best practices across different business areas.
  • •Help build next-generation data products, leveraging AI models for code generation and incorporating agents into workflows.

Key Requirements

  • •4+ years designing and building data sets and warehouses.
  • •Excellent stakeholder collaboration to understand needs and identify process improvements across teams.
  • •Expertise in SQL for analytics/reporting/BI and for building SQL- and Python-based transforms inside an ETL pipeline.
  • •Experience designing, architecting, and maintaining a data warehouse and data marts that integrate production databases, clickstream data, and external APIs.
  • •Experience with a modern data stack using cloud-native data warehouses (BigQuery), dbt, and Apache Airflow; AI-enabled workflows are a plus.
Experience:4+ years
Skills:OwnershipCollaborationData quality focusAnalytical thinking
Tech Stack:SQLPythonETLBigQueryDbtApache AirflowData warehouseData martsFeature storesSDLCAI modelsCode generationAgentsAPIsClickstream dataExternal APIs

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