Data Engineer

Thumbtack
United States
Workplace: RemoteFull timeUSD 144,200 - 219,500 annuallyFunction: Data Analytics & Business IntelligenceExperience: 2+ yearsSkills: ["Collaboration","Data quality mindset","Ownership"]

Build and maintain datasets, data marts, and feature stores that power product teams at scale. You’ll design and evangelize data-thinking across the SDLC, integrate data from production databases, clickstream, and external APIs, and drive data quality and best practices across business areas. The work focuses on modern, cloud-native pipelines using BigQuery, dbt, and Apache Airflow, with real-time data products on top of Apache Kafka.

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FursaFursa
Thumbtack
Thumbtack
7 months ago

Data Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 1 year ago

Job Summary

Build and maintain datasets, data marts, and feature stores that power product teams at scale. You’ll design and evangelize data-thinking across the SDLC, integrate data from production databases, clickstream, and external APIs, and drive data quality and best practices across business areas. The work focuses on modern, cloud-native pipelines using BigQuery, dbt, and Apache Airflow, with real-time data products on top of Apache Kafka.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
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 marketing datasets, data marts, and feature stores to support products and features.
  • •Partner with engineers, analysts, data scientists, and ML engineers to define datasets with engineering rigor.
  • •Drive data quality and best practices across different business areas.
  • •Help build next-generation data products, including real-time data products on top of Apache Kafka.

Pay and Benefits

Salary: USD 144,200 - 219,500 annually

Key Requirements

  • •2+ years of experience designing and building data sets and warehouses.
  • •Strong ability to collaborate with stakeholders (especially Analytics) and identify process improvements across teams.
  • •Experience with SQL for analytics/reporting/BI and for SQL- and Python-based transforms in ETL pipelines.
  • •Experience designing and maintaining datasets integrating multiple sources, including production databases, clickstream data, and external APIs.
  • •Familiarity with a modern cloud-native data stack (BigQuery, dbt, Apache Airflow or similar).
Experience:2+ yearsData warehousingETLData pipelines
Skills:CollaborationData quality mindsetOwnership
Tech Stack:SQLPythonETLApache KafkaBigQueryDbtApache AirflowAPIsClickstream

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