Senior Data Engineer — Spark & Databricks Pipelines (Remote)

Hungryroot; United States; Remote; USD 151,000 - 189,000; Full time

Benefits offered by this job

Equity

Unlimited vacation

Parental leave

Health, vision, dental, life insurance

401(k) with Company Match

Work-from-home stipend

Job summary

Hungryroot is seeking a Senior Data Engineer to join our Data Engineering team, focusing on building and maintaining data pipelines that power our Analytics data model used to inform financial decisions, product development, inventory management and more.

You will work with Analysts and Data Engineers to design data models, deploy scalable pipelines in Databricks, and uphold code and data quality standards across the team. This remote‑first role offers US‑wide flexibility.

Qualifications

• 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.
• 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
• Comprehensive health, vision, dental, and life insurance
• 401(k) with Company Match
• A work‑from‑home stipend to support your initial home‑office setup

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

Skills

ETL development

Data modeling

Python

Databricks

Spark

Problem solving

Tools

Databricks

Spark

Job description

Hungryroot is seeking a Senior Data Engineer to join our Data Engineering team, focusing on building and maintaining data pipelines that power our Analytics data model used to inform financial decisions, product development, inventory management and more.

You will work with Analysts and Data Engineers to design data models, deploy scalable pipelines in Databricks, and uphold code and data quality standards across the team. This remote‑first role offers US‑wide flexibility.