Job Description
You'll build the pipes that turn raw transaction data into the dashboards, fraud signals, and AI training sets we run the company on.
What you'll do
- Design ETL/ELT pipelines from production DBs to a warehouse
- Build streaming jobs that power real-time fraud flags
- Model schemas for finance, growth, and ops teams
- Partner with AI/ML on feature stores and training data
What we're looking for
- 3+ years building data pipelines at scale
- Strong SQL and Python — you can model and ship
- Experience with dbt, Airflow/Dagster, Kafka or similar
- You know why "exactly-once" is hard, and you've shipped one anyway