Data Engineer

📋 Description

• Build robust pipelines to ingest, transform, and consolidate data from diverse sources.
• Design dbt models to standardize disparate tables into clean production schemas.
• Implement scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python.
• Partner with engineers, data scientists, and business stakeholders to ensure data availability.
• Own data quality and reliability across the stack, from ingestion to consumption.
• Continuously improve pipeline performance, monitoring, and scalability.

🎯 Requirements

• Proven data engineering with SQL, Python, and modern data stack tools (Fivetran, dbt, Snowflake).
• Experience building and maintaining large-scale ETL/ELT pipelines across diverse sources.
• Strong data modeling, schema design, and transformation practices.
• Familiarity with data governance, monitoring, and QA.
• Comfort working cross-functionally with eng, product, and operations teams.
• Bonus: experience supporting ML workflows or analytics platforms.

🎁 Benefits

• Bi-annual performance bonus structure
• Generous equity grant vested over 4 years
• Up to $15k Relocation bonus
• $10K housing bonus (if you live near our office)
• $1.5K monthly stipend for meals
• Health, Dental, Vision insurance