Senior Data Engineer

TaskRabbit; San Francisco (CA); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401k match

Generous time off

IKEA discounts

Job summary

TaskRabbit is hiring a Senior Data Engineer to build the data foundation for a discovery-stage team focused on client retention and personalization. You’ll own data pipelines and models, enabling predictions of what service a client will need and when, and integrating signals into CRM and marketing channels.

The role requires strong SQL and programming skills, experience with dbt/Airflow/Snowflake, and comfort using AI coding assistants to accelerate delivery.

Qualifications

• 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.
• 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 — real-time data processing is a strong plus.

Responsibilities

• Build and maintain the data pipelines and models that capture client home profiles, job history, and seasonal or event-driven signals feeding a predictive personalization engine.
• Partner with the team’s ML Engineer and Solutions Architect to get data model-ready for predictions about what service a client will need and when.
• Build pipelines that connect personalization signals into CRM and marketing channels so predictions show up across the client experience.
• Develop dbt models and semantic layers to stand up and measure in-market tests like 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.
• Contribute to technical documentation and roadmap for scaling the data foundation.
• Work daily with Product, Design, Marketing, BizOps, and ML partners in a small, fast-moving pod.

Skills

ELT pipelines

SQL

Python

Java

Scala

AI coding assistants

Prompting AI

Ambiguity tolerance

Cross-functional collaboration

Data modeling

Tools

dbt

Airflow

Fivetran

Snowflake

BigQuery

Redshift

Looker

Mode

Tableau

Kafka

Kinesis

Job description

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, 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. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re 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 (2022, 2023, 2024, 2025) 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 or other employment-based visas). Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future.

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).

About the Role

We’re hiring a Senior Data Engineer to build the data foundation for a new discovery-stage team focused on Taskrabbit client retention and personalization. The team's 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. You’ll 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: you’ll own the design and build of specific data pipelines and models rather than set architectural direction for the broader platform, working closely with the team's Solutions Architect and Machine Learning Engineer as you go. It’s 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.

What you will work on

• 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 team's 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 team's bets prove out
• Work daily with Product, Design, Marketing, BizOps, and ML partners in a small, fast-moving pod

Requirements + Areas of Expertise

• 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 team's predictions run on event-driven triggers (weather events, life events), so comfort with real-time data processing is a strong plus

Compensation & Benefits

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 $130,000 - $170,000. 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.

You’ll love working here because:

• 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.

Taskrabbit’s commitment to Diversity and Inclusion: 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.