Software Engineer, Data

📋 Description

• Build and maintain data pipelines ingesting customer data with PySpark, Python, dbt.
• Improve integrations with new customers using tooling for faster, repeatable processes.
• Contribute to AI tooling adoption (LLM-assisted data cleaning, semantic validation).
• Collaborate with product, engineering, and GTM teams to deliver data solutions.
• Identify and optimize ETL to improve runtime and scalability.
• Solve real-world data quality challenges with messy data to extract signals.

🎯 Requirements

• 2+ years building ETLs or data workflows with Python, PySpark, SQL, or similar.
• Comfortable turning messy datasets into structured data.
• Ability to identify automation opportunities to simplify workflows.
• Experience or interest in Databricks, Snowflake, and dbt.
• Strong problem-solving with ambiguous requirements.
• Detail-oriented with robust, maintainable solutions.
• Collaborative, communicative, and eager to learn.

🎁 Benefits

• Remote-friendly with eligibility in listed US states.
• Equal employment opportunities (EEO) for all employees and applicants.
• Growth, learning, and collaboration opportunities.
• Inclusive, mission-driven culture focused on reducing food waste.