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
Taskrabbit's Data Engineering team is looking for a Senior Analytics Engineer to build and maintain the data models that power decision-making across the company. You'll sit at the intersection of data engineering and analytics — turning raw data into trusted, well-documented datasets that business teams rely on every day. This is a hands-on, individual-contributor role: you'll own key parts of the data model layer end to end, partnering closely with data engineers, analysts, and business stakeholders to keep our metrics consistent and our warehouse trustworthy.
What you will work on
- Design, build, and maintain scalable dbt models that transform raw data into clean, tested, well-documented datasets
- Own key parts of the data model layer, from source to mart, ensuring consistency in business logic and metric definitions across the warehouse
- Partner with data engineers, analysts, and business stakeholders to understand reporting needs and translate them into reliable data pipelines
- Establish and enforce testing, documentation, and code review standards for dbt projects
- Monitor data quality and freshness, and troubleshoot discrepancies when numbers don't match across reports
- Improve query performance and warehouse efficiency as data volume grows
- Mentor junior analytics engineers and contribute to team best practices and tooling decisions
- Help define and maintain a single source of truth for core business metrics (e.g., GMV, completed tasks, take rate)
Requirements + Areas of Expertise
- 2+ years of experience in analytics engineering, data engineering, or a related role, with deep hands-on experience in dbt and SQL
- Strong understanding of dimensional modeling and data warehouse design (Snowflake, BigQuery, or Redshift experience preferred)
- Experience with orchestration tools (e.g., Airflow, dbt Cloud) and version control (Git)
- Working knowledge of Python for data pipeline development and automation
- A track record of translating ambiguous business questions into clear, well-structured data models
- Strong communication skills — able to explain technical tradeoffs to both engineers and non-technical stakeholders
- Experience mentoring other engineers or leading technical projects
- Familiarity with BI or semantic-layer tools such as Looker, Mode, or Tableau is a plus
- Experience with marketplace or on-demand business models is a 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 $110,000 - 1450,000. 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.
- 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 [US Based Candidates Only]: 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 [email protected], and your application will be reviewed manually with no impact on your candidacy.
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