Data Engineer

Company Name: tastytrade
Role: Data Engineer
Location: Chicago, IL (Hybrid, 3 days/week)
About the Role
We’re looking for a Data Engineer to join our Analytics team. You’ll own data pipeline architecture, upskill those around you, and have real influence on how we build our data platform.
You’ll be part of a full stack data team of data scientists, data engineers, and analysts who take full ownership of our data pipelines and feature generation. This is a full-scope role: you’ll design systems, make tech decisions, ship, and iterate. If you have a good idea and can execute it, we’d love to learn from you.
Our team works with Snowflake, dbt, Airflow, Tableau, Python, AWS (S3, ECR, EKS), GitHub, ArgoCD, Elementary, and Grafana.
What You’ll Do
Design and build scalable data pipelines using dbt, Python, Airflow, and Snowflake to support business processes, such as our executive reporting dashboards
Own pipeline architecture and performance, and drive strategic initiatives to improve our data platform
Make architectural decisions, including schema design, tool selection, and trade-offs
Own data quality and observability, and build the infrastructure that keeps our data right
Write ELT code using modern data engineering practices, including Git and automated testing and deployments
Debug production data issues when they break (and they will)
Process, clean, and validate data from a variety of external sources and internal data pipelines
Lead ad-hoc analysis using internal and external data sources to help teams understand how customers interact with our products
Collaborate with upstream data producers (Software Engineering/D