Senior Data Engineer

Hungryroot

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.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $151,000 - $189,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and maintaining data pipelines using Spark and Python on the Databricks platform, with a strong focus on data quality and system reliability. Capable of collaborating with cross-functional teams to deliver high-quality self-service analytics and practical solutions to business challenges.

Highest-signal resume keywords

ETL DevelopmentData ModelingPython ProgrammingDatabricks PlatformSpark Framework

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentData ModelingPython ProgrammingSparkData Pipeline Deployment

Soft Skills

Problem-SolvingCollaboration

Tools & Technologies

Databricks

Industry Keywords

Food AnalyticsOperationsMarketingWeb DevelopmentApp Development

Tech Stack

Tools & technologies

ETLPythonSpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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