Thumbtack is hiring a Senior Data Engineer responsible for designing and maintaining core marketplace datasets, integrating data-thinking into the software development lifecycle, and building next-generation data products. You will work cross-functionally to understand data needs and ensure high-quality data practices.

What You'll Do

Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for product teams.
Design, architect, and maintain core marketplace datasets, data marts, and feature stores that support mature and evolving products.
Integrate with product engineers, analysts, data scientists, and machine learning engineers to understand data needs and design datasets with engineering rigor.
Drive data quality and best practices across different business areas.
Help build the next generation data products at Thumbtack, based on real-time data products on top of Apache Kafka.

What We're Looking For

4 or more years of experience designing and building data sets and warehouses.
Excellent ability to understand the needs of and collaborate with stakeholders in other functions, especially Analytics, and identify opportunities for process improvements across teams.
Expertise in SQL for analytics/reporting/business intelligence and also for building SQL- and Python-based transforms inside an ETL pipeline, or similar.
Experience designing, architecting, and maintaining a data warehouse and data marts that seamlessly stitches together data from production databases, clickstream data, and external APIs to serve multiple stakeholders.
Expertise building with a modern data stack based on a cloud-native data warehouse (e.g., BigQuery, dbt, Apache Airflow).
Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance.

Nice to Have

Experience or strong interest in applying AI-enabled workflows to accelerate development velocity and improve data engineering practices.

Technical Stack

SQL
Python
BigQuery
dbt
Apache Airflow
Apache Kafka

Team & Environment

You will join a centralized Data Engineering team working closely with engineers, analysts, data scientists, and machine learning engineers.

Benefits & Compensation

For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros: $210,800 - $272,800.
For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states: $189,600 - $245,300.
For candidates living in all other US locations: $179,400 - $232,100.