Data Engineer

• Building robust pipelines to ingest, transform, and consolidate data from diverse sources (e.g., MongoDB, Airtable, PostHog, production databases)
• Designing dbt models and transformations to standardize and unify many disparate tables into clean, production-ready schemas
• Implementing scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python
• Partnering with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability
• Owning data quality and reliability across the stack, from ingestion through to consumption
• Continuously improving pipeline performance, monitoring, and scalability

• Proven experience in data engineering
• Strong knowledge of SQL, Python, and modern data stack tools (Fivetran, dbt, Snowflake or similar)
• Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources (databases, analytics platforms, SaaS tools)
• Strong understanding of data modeling, schema design, and transformation best practices
• Familiarity with data governance, monitoring, and quality assurance
• Comfort working cross-functionally with engineering, product, and operations teams

Prior experience supporting machine learning workflows or analytics platforms

• Generous equity grant vested over 4 years
• A $20K relocation bonus (if moving to the Bay Area)
• A $10K housing bonus (if you live within 0.5 miles of our office)
• A $1K monthly stipend for meals
• Free Equinox membership
• Health insurance