Taskrabbit is seeking a Staff Data Engineer to lead the design, development, and optimization of their data infrastructure and analytics layers, enabling the creation of reliable, scalable, and high-quality data products across the company.
Requirements
- Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran
- Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads
- Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala)
- Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns
- Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components
- Hands-on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalent
Responsibilities
- Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases
- Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business
- Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools
- Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth
- Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent)
- Champion data quality, documentation, and observability to ensure high trust in data across the organization
- Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplines
Other
- This role will report to the Director of Data Engineering and Applications and work closely with both technical teams and non-technical stakeholders across the business.
- While this is an individual contributor role, it emphasizes mentorship and strategic guidance across both data engineering and analytics engineering functions.
- They excel at engaging with non-technical stakeholders to understand business needs and are skilled at translating those needs into well-defined metrics, semantic models, and self-serve analytical tools.
- They are comfortable shaping architectural direction, promoting best practices across the team, and thrive in environments that require cross-functional collaboration, clear communication, and a strong sense of ownership.
- Taskrabbit is a remote-first company with employees distributed across the US and EU
