Senior Data Engineer

• Develop pipelines in Spark (Python + Scala) in the Databricks Platform
• Build cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams
• 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
• Investigate datasets to answer business questions ensuring data quality and understanding business assumptions before deployment

• 5+ years of experience in ETL development and data modeling
• 5+ years of experience in Python
• 5+ years of experience in Spark
• 1+ year of experience in Scala
• 1+ years of experience working with the Databricks Platform
• Excellent problem-solving skills and ability to translate business problems into practical solutions

Pay range: $150K - $180K

• Remote-first: work from home, work from our NYC office, work from anywhere in the U.S.
• Equity
• Unlimited vacation policy
• Universal paid parental leave
• Monthly Hungryroot credit for groceries
• Comprehensive health, vision, dental, and life insurance
• 401k with Company Match
• A work from home stipend for home-office setup