Senior Data Engineer

Thumbtack helps millions of people confidently care for their homes. They are seeking a Senior Data Engineer to work on the Embedded Data Engineering team, focusing on designing and curating data sets to meet the needs of various stakeholders.

Responsibilities:

• Collaboratively refine and evangelize a comprehensive 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 that support a blend of mature products and features with a rapidly evolving product line, in partnership with analytics, data science, and machine learning
• Integrate deeply with our cross functional partners to understand their data needs, and help design datasets with the same engineering rigor as any other software we design
• Drive data quality and best practices across different business areas
• Help build the next generation data products at Thumbtack, leveraging AI models for code generation and incorporating agents into our workflows

Requirements:

• 4+ 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 the above with a modern data stack based on a cloud-native data warehouse, in our case we use BigQuery, dbt, and Apache Airflow, but a similar stack is fine
• Experience using AI to generate design plans, code and documentation as well as applying AI-enabled workflows to accelerate development velocity and improve data engineering practices
• Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance