Senior Data Engineer
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Job Description
Senior Data Engineer developing data pipelines on the Databricks Platform for Hungryroot analytics. Collaborating across departments to enhance data modeling and self-service analytics capabilities.
Responsibilities:
- Develop pipelines in Spark (Python) in the Databricks Platform
- Build cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to power pipeline development for the business
- Ensure system reliability and performance
- Deploy and maintain data pipelines in production
- Set an example of code quality, data quality, and best practices
- Work with Analysts and Data Engineers to enable high quality self-service analytics for all of Hungryroot
- Investigate datasets to answer business questions, ensuring data quality and business assumptions are understood before deploying a pipeline
Requirements:
- 5+ years of experience in ETL development and data modeling
- 5+ years of experience in Python
- 2+ years of experience working with the Databricks Platform
- Experience with Spark
- Excellent problem-solving skills and the ability to translate business problems into practical solutions
Benefits:
- Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide!
- Equity
- Unlimited vacation policy
- Universal paid parental leave
- Monthly Hungryroot credit for delicious, healthy groceries
- Comprehensive health, vision, dental, and life insurance
- 401k with Company Match
- A work from home stipend to support your initial home-office setup
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