In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.Responsibilities- 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 (data science, engineering, trading) when a problem crosses team boundaries
- Work with real-time, event-driven data to reconstruct and explain system behavior during live events
Requirements- 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
- Experience building and maintaining software that runs in production against real-world data - not just prototypes, one-off scripts, or notebook-based analysis
- 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
Preferred- Experience with event-driven or real-time data systems (e.g., Kafka or comparable)
- Background in analytics engineering, applied statistics, or a hybrid data/software role
- Exposure to sports, sports betting, or trading concepts (helpful, not required)
Base salary: Starting at $150,000 base to DOE
