Senior Data Engineer

Summary

Join Thumbtack's Data Engineering team and collaborate with engineers, analysts, and data scientists to design and curate data sets. You will refine a framework for integrating data-thinking into the software development lifecycle, design and maintain core marketing datasets, and integrate with various teams to understand their data needs. Responsibilities include driving data quality, building next-generation data products based on real-time data, and ensuring data best practices across business areas. This role requires 4+ years of experience in designing and building datasets and warehouses, expertise in SQL and Python, and experience with a modern data stack (BigQuery, dbt, Apache Airflow). The ideal candidate will possess strong collaboration skills and a sense of ownership. Salary ranges vary based on location.

Requirements

• 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 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
• Strong sense of ownership and pride in your work, from ideation and requirements-gathering to project completion and maintenance

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 marketing 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 with teams consisting of product engineers, analysts, data scientists, machine learning engineers throughout Thumbtack 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, based on real-time data products on top of Apache Kafka

Benefits

• For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $200,900 - $259,900
• For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $180,800 - $234,000
• For candidates living in all other US locations, the expected salary range for this role is currently $170,800 - $221,000