GoFasti is a Talent-as-a-Service company that connects world-class developers and designers from LatAm with leading companies globally. They are seeking a Data Engineer to build and maintain a real-time market data ingestion service, manage high-volume data streams, and ensure data completeness for trading models.
Responsibilities:
- Build and maintain a real-time market data ingestion service that consumes streaming equity data via WebSockets
- Manage high-volume data streams
- Aggregate and structure streaming data into time-based slices for model consumption
- Implement reliability measures, including fallback if the real-time feed is interrupted
- Deliver processed data daily to a trading model
- Maintain and validate the historical data pipeline pulling equity and options data from S3
- Ensure historical datasets are updated daily and ready for back-testing and model input
- Work with data sources including Polygon.io (equities) and CBOE options flat files
- Add monitoring and alerting to track system health, throughput, and pricing updates
- Ensure data completeness — the model requires a full trading day of data to run successfully
- Proactively identify and resolve issues to keep the system running smoothly
- Integrate with an existing position monitoring component that syncs brokerage account holdings
- Collaborate with a DevOps engineer on Kubernetes deployments and infrastructure
- Participate in weekly syncs with the CTO and team, communicating progress and blockers clearly
Requirements:
- 3+ Years of experience as a Data Engineer
- Proven experience building and operating real-time streaming data pipelines in a production environment
- Strong proficiency in Go (preferred for new development) and/or C (legacy system familiarity)
- Hands-on experience consuming market data or high-throughput event streams via WebSockets
- Familiarity with AWS services (EC2, S3) and containerized environments (Kubernetes)
- Experience with monitoring/observability tooling such as Prometheus, Grafana, or similar
- Demonstrated ability to work independently, take initiative, and communicate proactively when facing blockers
- Comfort working in a small, fast-moving team with minimal oversight
- Prior experience in quantitative finance, hedge funds, or fintech data infrastructure
- Experience with Polygon.io / Massive.com APIs and data formats
- Background in financial market data (equities, options) and familiarity with concepts like tradable universes and position management
- Experience with message queuing, stream processing frameworks, or time-series data aggregation