About the Engineering Team

At Thumbtack, engineers at every level build products and systems that directly impact our customers and professionals. Our challenges span a wide variety of areas, ranging from building search and booking experiences, to optimizing pricing systems, to building tools to help professionals grow their businesses. We believe in tackling these hard problems together as a team, with strong values around collaboration, ownership and transparency. To read more about the hard problems that our team is taking on, visit our engineering blog.

About the Role

As a Data Engineer, you will work closely with product and engineering teams throughout Thumbtack, and turn data into insight into action. We’re building a hybrid-embedded team of Data Engineers that consult directly with teams to help them better model the data necessary to build a better marketplace for local services. You’ll work to understand requirements, then design, deploy, test, and deploy data pipelines, as well as help architect the core data ecosystem for Analysts, Machine Learning Engineers, and Data Scientists. Major project areas include: designing a next-gen warehouse with DBT, developing advanced ingress/egress validation in the data lake, and modeling cost of supply acquisition for our two-sided marketplace.

Responsibilities

• Design, build, and maintain data pipelines that support a rapidly evolving product, in partnership with our stellar Analytics and Data Services teams.
• Build and own the reporting pipelines that organize and structure our terabytes of data into digestible tables that empower analysis and reporting across the company
• Integrate with product teams throughout the org to understand their data needs, and deliver pipelines and insights with the same engineering rigor as any other software we design.
• Drive data quality across key product and business areas.
• Collaborate closely with analysts and engineers to ensure our analytics infrastructure helps meet company goals and allows product development to move quickly.
• Partner with data platform and product engineering teams to ensure consistent, seamless tracking and measurement of key company and product metrics.

What you’ll need

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

• 2 or more years of experience working in data engineering or a similar discipline, where your primary focus was on datastores and business intelligence, serving analysis and reporting functions.
• Experience building ETL data pipelines in a programming language like Python, SQL, or Scala.
• Expertise in SQL for analytics/reporting/business intelligence, including basic comprehension of query execution plans, and query tuning/optimization for Google BigQuery, Amazon Redshift, Snowflake, or similar.
• Experience designing, architecting, and maintaining a data warehouse that seamlessly stitches together data from production databases, clickstream event data, and external APIs to serve teams of analysts.
• Excellent ability to understand the needs of and collaborate with stakeholders in other functions, especially an Analytics team, and identify opportunities for process improvements.

Bonus points if you have 

• Experience using and/or configuring Business Intelligence tools (Tableau, Mode, Looker, et al).
• Experience working with semi- or unstructured data in a data lake.
• Experience working in data engineering or a similar discipline at an online marketplace or similar consumer technology company.
• Experience orchestrating data pipelines that serve hourly or daily metric reporting in Airflow or similar.

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines.* Learn more about our virtual-first working model here.

For candidates living in San Francisco / Bay Area, New York City, or Seattle metros, the expected salary range for the role is currently $150,000 - $209,000. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

#LI-Remote