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
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