Senior Data Engineer

Hungryroot

Completely RemoteFull TimeInformation Technology
Posted 3 days ago

Job description

About the Company

Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living—getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family.

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
  • 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 and ensure data quality

Requirements

  • 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

Benefits

  • Remote-first culture
  • Equity
  • Unlimited vacation policy
  • Universal paid parental leave
  • Monthly Hungryroot credit for groceries
  • Comprehensive health, vision, dental, and life insurance
  • 401k with Company Match
  • Work from home stipend

Skills & tools

PythonSparkDatabricks

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years ETL development
  2. 025+ years Python
  3. 032+ years Databricks
  4. 04Spark experience
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