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)

Analytics Engineer

Responsibilities

Qualification

Required

Benefits

Company

Taskrabbit

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