Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create data pipelines using Spark (Python) on the Databricks Platform.

• Establish collaborative working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to enhance pipeline development for the organization.

• Ensure the reliability and performance of systems.

• Deploy and maintain data pipelines in a production environment.

• Demonstrate exemplary code quality, data quality, and adherence to best practices.

• Collaborate with Analysts and Data Engineers to facilitate high-quality self-service analytics for all of Hungryroot.

• Analyze datasets to address business inquiries, ensuring data quality and comprehension of business assumptions prior to pipeline deployment.

⛳️ Requirements

• Over 5 years of experience in ETL development and data modeling.

• More than 5 years of experience in Python.

• At least 2 years of experience with the Databricks Platform.

• Proficient in Spark.

• Strong problem-solving abilities and the capability to convert business challenges into actionable solutions.

🏝️ Benefits

• Remote-first: work from home, our NYC office, or anywhere in the U.S. - the choice is yours!

• Equity options.

• Unlimited vacation policy.

• Universal paid parental leave.

• Monthly Hungryroot credit for tasty, healthy groceries.

• Comprehensive health, vision, dental, and life insurance coverage.

• 401k plan with Company Match.

• A stipend to support your initial work-from-home setup.