Full Stack Engineer

Posted Yesterday
Hiring Remotely in San Francisco, CA, USA
In-Office or Remote
150K-190K Annually
Mid level
Artificial Intelligence • Machine Learning • Sports • Analytics
The Role
Design and build a next-generation data analytics platform, standardize development processes, research scalable technologies, implement backend RESTful APIs and frontend features, collaborate with stakeholders and cross-functional teams, and ensure high-quality, tested software for deployment.
Summary Generated by Built In
Company Overview

You will be part of the Visual Services team. The VS team is building the next-generation platform that collects, stores, and provides real-time access to large amounts of data to drive better trading and operational performance at Swish.  

Tasks
  • Bring your innovation and experience in designing and developing the next-generation data analytics platform using cutting-edge technologies.

  • Standardize processes for the complete development cycle including design, implementation, unit testing, code review, testing automation, etc.

  • Research and adopt the right technologies to improve the scalability and productivity of the trading analytics group.

  • Work closely with key stakeholders and product owners to drive technical design for requirements of various use cases.

  • Coordinate with departments (Data, DevOps, Product, Finance, Customer Success, etc.) to ensure a smooth cycle from development to deployment.

Qualifications
  • Bachelor Degree in Computer Science, Computer Engineering, Software Engineering, or similar field.

  • Minimum of 4+ years of software development experience.

  • Minimum of 1 year of production experience in backend Restful API development (experience with Restify, Fastify or another Node development framework is desirable.)

  • Expert-level front-end software development skills with Javascript, Typescript, React/Next.js, Node.

  • Ability to drive projects end to end.

  • Ability to produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

  • Nice to have: background in SQL & data analytics. Experience with SQL time series analytical queries, window functions,  data modeling, and SQL query optimization is desirable.

Base salary: $150,000 - 190,000

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. 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.

Skills Required

  • Bachelor Degree in Computer Science, Computer Engineering, Software Engineering, or similar field
  • Minimum of 4+ years of software development experience
  • Minimum of 1 year of production experience in backend RESTful API development
  • Experience with Restify, Fastify, or another Node development framework
  • Expert-level front-end development skills with JavaScript, TypeScript, React/Next.js, and Node
  • Ability to drive projects end to end
  • Ability to produce high-quality software that is unit tested, code reviewed, and integrated via continuous integration
  • Background in SQL and data analytics, including time-series queries, window functions, data modeling, and SQL query optimization
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The Company
170 Employees
Year Founded: 2014

What We Do

Swish Analytics builds predictive sports-analytics products and B2B betting solutions, specializing in odds origination, risk management, and trading software for major U.S. sports. Using machine learning and statistical modeling, it prices player propositions and delivers real-time predictive data for sportsbooks, fantasy platforms, and sports organizations across U.S. and international markets, offering enterprise APIs and analytics to drive automated oddsmaking and trading decisions.

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