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snowflake sql python databricks dbt📋 Description
- Lead and grow a team of data engineers with mentorship.
- Own execution of customer data integrations across product lines.
- Build core dataflows powering new Afresh products.
- Drive integration velocity from raw data to production-ready pipelines.
- Improve data quality and pipeline reliability with better alerts.
- Collaborate with Solutions Engineers, Product, and customer teams.
🎯 Requirements
- 3+ years of engineering management experience
- Strong data engineering background: Python, PySpark, SQL, dbt, Airflow
- Experience shipping data integrations or ETL systems at scale
- Manage execution across multiple concurrent projects with stakeholders
- Improve team velocity via tooling, automation, or process improvements
- Enthusiasm for AI-augmented engineering workflows
🎁 Benefits
- AI-forward engineering culture with bleeding-edge tech.
- Collaborative, supportive team environment
- Mission-driven company reducing food waste
- Opportunity to impact scale and social good with data
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