Real-Time Sports Analytics Engineer

Swish Analytics; San Francisco (CA); Vor Ort; USD 135.000 - 165.000; Vollzeit

Zusammenfassung

Swish Analytics is seeking engineers for the Suspensions team to develop real-time data systems that monitor, analyze, and reconstruct market suspensions and resumption events. You will work with Python and Rust to process production data, build robust metrics, and contribute to core tooling.

The role requires strong Python and SQL skills, experience with live data, and the ability to solve open-ended problems with limited guidance.

Qualifikationen

• Bachelor's Degree in Computer Science, Statistics, Data Science, or similar major
• Minimum of 4 years of professional software engineering experience, including production systems
• Minimum of 2 years of experience with Python, including data extraction, wrangling, and analysis
• Minimum of 1 year of experience with Rust in a production environment
• Strong SQL skills and direct experience working with raw/source data (logs, event streams, production tables)
• Experience taking on open-ended problems with limited upfront direction — figuring out the right questions to ask, who else needs to be involved, and driving the work to a conclusion without needing the problem pre-scoped for you
• Genuine statistical/quantitative reasoning skills — comfortable building rigorous, defensible measures of system behavior

Aufgaben

• Investigate individual incidents and requests end-to-end, working directly with raw production data and systems to determine root cause and recommend resolution
• Build and maintain metrics that measure system health and performance over time, using statistical methods as the core analytical approach, while also producing clear descriptive reporting for stakeholders
• Contribute directly to the team's core framework and tooling, making investigation and measurement work more repeatable and less bespoke over time
• Operate independently on ambiguous, partially-scoped problems, identifying the right cross-functional partners when a problem crosses team boundaries
• Work with real-time, event-driven data to reconstruct and explain system behavior during live events

Kenntnisse

Python

Rust

SQL

Data analysis

Statistical reasoning

Data wrangling

Ausbildung

Bachelor's degree in Computer Science, Statistics, Data Science, or similar major

Tools

Kafka

Jobbeschreibung

Swish Analytics is seeking engineers for the Suspensions team to develop real-time data systems that monitor, analyze, and reconstruct market suspensions and resumption events. You will work with Python and Rust to process production data, build robust metrics, and contribute to core tooling.

The role requires strong Python and SQL skills, experience with live data, and the ability to solve open-ended problems with limited guidance.