- Experience
- 2 – 5 years
- Pay
- $130K – $150K per year
- Education
- Not specified
- Location
- Chicago, IL
- Work mode
- Hybrid
- Job type
- Full-time
About this role
tastytrade is a retail brokerage for self-directed traders, part of IG North America alongside tastylive and tastyfx. This data engineer owns pipeline architecture and data quality on a full-stack analytics team.
What you will do
- Build data pipelines with dbt, Python, Airflow and Snowflake
- Own pipeline architecture and performance
- Make schema design and tool selection decisions
- Own data quality and observability
- Write ELT code with Git and automated testing
- Debug production data issues
- Support Tableau reporting and ad-hoc analysis
- Upskill teammates through code review
What the employer expects
- 2-5 years of professional data engineering
- Expert SQL
- Real production dbt experience
- Solid production Python
- Airflow, Prefect or Dagster experience
- Cloud warehouse experience (Snowflake, BigQuery or Redshift)
- Git and command line proficiency
Benefits
- Performance bonuses
- Stock purchase options
- Medical, vision and dental benefits
- 401k plan
- 20 paid vacation days and 10 paid sick days
- Gym membership reimbursement
- Commuter benefits
- Two paid volunteer days off
Skills
- SQL
- dbt
- Python
- Airflow
- Snowflake
- Tableau
- AWS
- Git
- ArgoCD
- Grafana
Apply on the employer's site
The application opens on tastylive careers page (Greenhouse). Dev Portal Notes does not collect your application or charge a fee.
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Applications are handled on the employer's own site.
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