Analytics Engineer

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

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!

Requirements

• 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

Benefits

• Employer-paid health insurance
• 401k match with immediate vesting
• Generous and flexible time off
• Taskrabbit product stipends
• Wellness + productivity + education stipends
• IKEA discounts
• Reproductive health support