🛠 Tech Stack

💼 About This Role

You'll design, build, and operate data services and APIs for a high school sports data ecosystem. You'll own technical design for major features, including API shape, data contracts, and event-driven architectures, and deliver production-grade services with strong observability.

🎯 What You'll Do

• Design, build, and operate data services and APIs used by application teams.
• Partner with Data Platform engineers to translate event streams into application-ready interfaces.
• Own technical design for major features, including API shape, data contracts, versioning, and backward compatibility.
• Improve observability, correctness, and operational maturity of data products.

📋 Requirements

• 5+ years of experience building production software systems, ideally data services or platform APIs.
• Strong Python skills — production-grade, testable, maintainable code.
• Strong SQL skills and comfort working with large analytical datasets.
• Experience with event-driven architectures and streaming systems (Kafka, Flink, or equivalent).

✨ Nice to Have

• Experience with Snowflake or similar cloud data warehouses.
• Background in data modeling for analytical or operational use cases.
• ML engineering basics — feature pipelines, model-adjacent data services.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Design Interview· 60 min