1018- Data Engineer

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