Job Description: Software Engineer (Rust)

Position Overview

Swish Analytics is seeking a talented Software Engineer to join our team. We are a sports analytics, betting, and fantasy startup focused on building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise, not intuition. We are looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Employment Type

Full-time

Salary

$100,000 - $175,000 (Base salary encompasses multiple levels and depends on experience)

Location Type

On-site (Implied, not explicitly stated)

Responsibilities

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

Requirements

• Bachelor's Degree in Computer Science, Data Science, or a similar major.
• Minimum of 1 year of software engineering experience with Rust; 3 years preferred.
• Minimum of 3 years of experience developing high-performance, scalable, and reliable production systems.
• Proficiency in Data Extraction, Wrangling, and Analysis in Python.
• Strong SQL querying skills.
• Ability to work independently and take initiative.

Preferred Qualifications

• 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.

Company Description

Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Application Instructions

(Not specified in the provided text)

Equal Opportunity Employer

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law.

Additional Information

The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.