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Senior Data Engineer – Data Quality & Experimentation
| Company | Strava |
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| Location | San Francisco, CA, USA |
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| Salary | $160000 – $185000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 5+ years of experience implementing and maintaining ETL/ELT orchestration systems, such as Airflow or dbt
- Advanced SQL user in the context of data pipelines
- Experience developing software using programming languages like Python, Scala, Java, Go, Ruby, etc.
- Experience implementing tools that empower efficient development of data products (i.e. data catalog, data quality monitoring, BI tools, etc.)
- Understanding of underlying infrastructure needed to serve production services (i.e. Kubernetes, AWS, GCP, Azure)
Responsibilities
- Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines for Strava’s core business data models and analytical data sets
- Implement monitoring and alerting for the quality and availability of data sets and workflows that guarantee the integrity of Strava’s data assets
- Collaborate with the data team to develop optimizations and best practices for data science workflows and self-service reporting infrastructure
- Contribute to Strava’s data culture by developing data and tools for self-service exploration, reporting, and experimentation
Preferred Qualifications
No preferred qualifications provided.
