Senior Analytics Engineer

About the position

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 remote-first company with employees distributed across the US and EU. This role will be fully remote through August 2025 with the expectation that employees will begin working 2 days per week in our dedicated office space in San Francisco starting September 2025.

Responsibilities

• Design and develop data ontologies for Dolly’s core business objects, represented as our enterprise data model.
• Develop performant, scalable code for Dolly’s production data transformation layer.
• Design and develop efficient orchestrations between interdependent transformation.
• Implement transformation pipelines for raw data considering quality, detection/enforcement, and periodicity.
• Own data definitions for Dolly’s key business metrics.
• Work with executives, department heads and other stakeholders across the business to ensure data definitions align with business needs.

Requirements

• Expertise in Snowflake SQL, and dbt Cloud CLI (5 years)
• Expertise in dimensional modeling and SCD2 use cases (3 years)
• Expertise in at least one programming language used for data analysis (eg Python, R) (3 years)
• Experience designing and implementing data quality assurance and monitoring processes (2 years)
• Experience interacting with executive and senior management stakeholders around the topics of data access, quality, appropriate use, metric definitions and standardization (2 years)
• Familiarity with git (2 years)
• Commitment to data process development with a relentless focus on transparency, quality, efficiency and resilience

Benefits

• Employer-paid health insurance
• 401k match with immediate vesting for US based employees
• Generous and flexible time off with 2 company-wide closure weeks
• Taskrabbit product stipends
• Wellness + productivity + education stipends
• IKEA discounts
• Reproductive health support