Rust Engineer

🕒 March 20

🏄 California – Remote

🏄 California – Remote

💵 $155k / year

⏰ Full Time

🟢 Junior

🔙 Backend Engineer

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Swish Analytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

🎲 Gambling

🤖 Artificial Intelligence

🤝 B2B

💰 $6.9M Series B - Swish Analytics on 2019-05

Gambling • Artificial Intelligence • B2B

Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry.

📋 Description

• Develop high-performance and low-latency products to verify results and provide reliability for in-game play • Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure • Design core, backend software components, and code primarily using Rust • Building internal and external tools to support Swish’s live trading platform • Source origins of data inaccuracies through data pipeline dependencies and python code base • Use extensive experience to build, test, debug, and deploy production-grade components • Proactively improve our Rust and Python codebase • Production model feature deep dives to explain project market lines

🎯 Requirements

• Bachelor's Degree in Computer Science, Data Science or similar major • Minimum of 1 year of software engineering experience with Rust; 3 preferred • Minimum of 3 years of experience developing high-performance, scalable, and reliable production systems • Data Extraction, Wrangling and Analysis in Python • Strong SQL querying skills • Ability to work independently and take initiative • Preferred: Experience with Apache Kafka and comparable systems • Exposure to the data science process and tech stack • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios