Alpaca — US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more; serves hundreds of financial institutions across 40 countries with institutional-grade APIs; 400+ distributed team.
Your position
Senior Data Engineer responsible for designing and building Alpaca's next-generation Data Platform, including lakehouse infrastructure, low-latency streaming and batch ingestion, and BI/data products; works with GCP-based data stack and a 100% distributed remote team; processes hundreds of millions of events daily and supports internal/external stakeholders.
Requirements
5+ years of Data Engineering experience;
2+ years building/operating scalable, low-latency data platforms handling >100M events/day;
Kubernetes with cloud-native tooling (Docker, Helm);
IaC experience (Terraform, Ansible, ArgoCD or equivalents);
Distributed systems knowledge (storage, transactions, query processing); hands-on with Trino/Presto;
Compensation & benefits
Competitive Salary & Stock Options;
Health Benefits;
Remote/work-from-home setup with a one-time USD 500 home-office setup;