The company is a US-headquartered self-clearing broker-dealer serving hundreds of financial institutions across 40 countries with over 9 million brokerage accounts
Job Summary
The company is a US-headquartered self-clearing broker-dealer serving hundreds of financial institutions across 40 countries with over 9 million brokerage accounts.
This role involves designing forward- and reverse-ETL patterns to deliver data to stakeholders while managing hundreds of millions of daily events.
Employees receive competitive salary and stock options along with a one-time $500 home-office setup stipend and a monthly $150 Brex Card allowance.
Matching Summary
The company is a US-headquartered self-clearing broker-dealer serving hundreds of financial institutions across 40 countries with over 9 million brokerage accounts.
Salary
Competitive Salary & Stock Options; Home-Office Setup: One-time USD $500; Monthly Stipend: USD $150 per month via Brex Card
Skills & Requirements
Must-have
7+ years data engineering experience
Python and SQL proficiency
Google Cloud Platform expertise
Apache Iceberg and relational databases
Kafka streaming systems experience
Docker Kubernetes and Helm
dbt transformation layer development
Nice-to-have
Passion for open-source contributions
Experience with Terraform IaC
Startup environment adaptability
Trino distributed query engines
Airflow and Airbyte orchestration
Key Requirements
7+ years in data engineering
2+ years building platforms handling >100M events/day