Senior Data Engineer - Remote

Overview

Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We are your personal assistant for healthy living. We get to know your goals, lifestyle, and budget, and we recommend and deliver healthy groceries, easy recipes and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time, and discover new foods. Founded on the belief that food is the foundation of health, convenience should not mean compromise, and we’re all unique in how we eat and live, Hungryroot is building a future in which healthy living is easy and enjoyable.

In Short

• Join the growing Data team as a Senior Data Engineer.
• Develop and maintain data pipelines that inform financial decision making and product development.
• Collaborate with Analysts and Data Engineering peers.
• Work with Spark (Python + Scala) in the Databricks Platform.
• Ensure system reliability and performance.
• Set an example of code quality and best practices.
• Investigate datasets to answer business questions.
• Work remotely from anywhere in the U.S.
• Participate in regular team building events and annual retreats.
• Enjoy a remote-first culture with flexible work options.

Requirements

• 5+ years of experience in ETL development and data modeling.
• 5+ years of experience in both Scala and Python.
• 5+ years of experience in Spark.
• Excellent problem-solving skills.
• 2+ years of experience with the Databricks Platform.

Benefits

• Remote-first work environment.
• Equity options.
• Unlimited vacation policy.
• Universal paid parental leave.
• Monthly credit for healthy groceries.
• Comprehensive health, vision, dental, and life insurance.
• Wellbeing benefits.
• 401k with match.
• Work from home stipend.