Senior Data Engineer

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-dos such as furniture assembly handyman work moving help and much more.

At Taskrabbit we want to transform lives one task at a time. As a company we celebrate innovation inclusion and hard work. Our culture is collaborative pragmatic and fast-paced. Were looking for talented entrepreneurially minded and data-driven people who also have a passion for helping people do what they with IKEA were creating more opportunities for people to earn a consistent meaningful income on their own terms by building lasting relationships with clients in communities around the world.

Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In Best Places to Work () continually ranked across multiple national and regional categories. Join us at Taskrabbit where your work will be meaningful your ideas valued and your potential unleashed!

Prior to applying please note:

• We are currently unable to provide visa sponsorship for this position (including H-1B OPT F1 CPT H4 or other employment-based visas). Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. H-1B transfers are valid on a case by case basis.
• This role is hybrid requiring 2 days in office at our San Francisco hub every Tuesday & Wednesday (located at 130 Sutter St San Francisco CA).

Were hiring a Senior Data Engineer to build the data foundation for a new discovery-stage team focused on Taskrabbit client retention and personalization. The teams mandate is to turn our biggest unaddressed retention bet predicting what home service a client will need and when then reaching them proactively from concept into validated in-market tests. Youll be one of four new hires on a small cross-functional pod (Product Design Marketing BizOps Machine Learning and Engineering) reporting through Product and matrixed with Data Engineering leadership.

This is a hands-on individual-contributor role one level below our Staff Data Engineer track: youll own the design and build of specific data pipelines and models rather than set architectural direction for the broader platform working closely with the teams Solutions Architect and Machine Learning Engineer as you go. Its a strong fit for someone who wants outsized ownership on a small team is energized by ambiguity and fast iteration and wants to help prove out (or kill) a major product bet with real evidence rather than another deck.

The ideal candidate has solid experience with modern data tools dbt Airflow Snowflake (or equivalent) and is genuinely excited to work with AI coding tools day to day. We want someone who already leverages AI (e.g. GitHub Copilot Cursor Claude Code) to write test and review code faster and who can use that speed to move a discovery team from idea to shipped test quickly not someone who treats AI assistance as optional or occasional.

• Build and maintain the data pipelines and models that capture client home profiles job history and seasonal or event-driven signals (weather life events moves) feeding a predictive personalization engine
• Partner with the teams Machine Learning Engineer and Solutions Architect to get data model-ready for predictions about what service a client will need and when
• Build the pipelines that connect personalization signals into CRM and marketing channels (email SMS push onsite) so predictions show up consistently across the client experience
• Develop dbt models and semantic layers that let the team quickly stand up and measure in-market tests such as multi-category punch cards or a recurring-category revenue model
• Use AI coding tools as a default part of your workflow to scaffold pipelines write tests and speed up code review so the team can move from hypothesis to live test quickly
• Contribute to the technical documentation and roadmap that will inform how this data foundation scales if the teams bets prove out
• Work daily with Product Design Marketing BizOps and ML partners in a small fast-moving pod

• Experience building and maintaining ELT data pipelines using modern tools such as dbt Airflow and Fivetran
• Experience with a cloud data warehouse such as Snowflake BigQuery or Redshift
• Solid data modeling skills (e.g. dimensional modeling star/snowflake schemas)
• Proficient in SQL and at least one general-purpose programming language (e.g. Python Java or Scala)
• Regularly use AI coding assistants (e.g. Copilot Cursor Claude Code) in your day-to-day work and know how to prompt review and validate AI-generated code rather than just accept it
• Comfortable with ambiguity this is a discovery-stage team proving out new bets not a mature fully-scoped platform
• Familiarity with BI or semantic-layer tools such as Looker Mode or Tableau
• Experience with streaming platforms such as Kafka or Kinesis this teams predictions run on event-driven triggers (weather events life events) so comfort with real-time data processing is a strong plus.

At Taskrabbit our approach to compensation is designed to be competitive transparent and equitable. Total compensation consists of base pay bonus benefits perks. The base pay range for this position is $170000 - $225000. This range is representative of base pay only and does not include any other total cash compensation amounts such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including but not limited to relevant experience qualifications geography and level.

• Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection.
• The People. You will be surrounded by some of the most talented supportive smart and kind leaders and teams -- people you can be proud to work with!
• The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
• The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks Taskrabbit product stipends wellness productivity education stipends IKEA discounts reproductive health support and more. Benefits vary by country of employment.

An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve breaking down systemic barriers and transforming lives- one action at a time.

Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race religion color national origin ancestry citizenship sex gender gender identity sexual orientation age marital status military/veteran status or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

AI-Assisted Prescreening Notice: As part of our hiring process we may use artificial intelligence tools to assist with the initial prescreening of applications and responses. This tool does not make hiring decisions every application and response is reviewed by a member of our recruiting team to determine fit for the role. If you would prefer not to have your application processed using this tool you may opt out by selecting opt out in the application form or by emailing and your application will be reviewed manually with no impact on your candidacy.