[Remote] Frontend Engineer at Swish Analytics

San Francisco, California, United States

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$110,000 – $150,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, TradingIndustries

Requirements

Candidates must possess a Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a similar field, with a minimum of 4+ years of software development experience. A minimum of 1 year of production experience in backend Restful API development, expert-level front-end software development skills with Javascript, Typescript, React/Next.js, and Node are required. The ability to drive projects end-to-end and produce high-quality, unit-tested software is essential. Experience with Restify or Fastify, SQL, data analytics, SQL time series analytical queries, window functions, data modeling, and SQL query optimization are desirable.

Responsibilities

The Frontend Engineer will bring innovation and experience to designing and developing the next-generation data analytics platform, standardizing processes for the complete development cycle including design, implementation, unit testing, code review, and testing automation. They will research and adopt the right technologies to improve scalability and productivity, work closely with key stakeholders and product owners to drive technical design for various use cases, and coordinate with departments to ensure a smooth cycle from development to deployment.

Skills

Javascript

Typescript

React

Next.js

Node.js

Restful API

Restify

Fastify

Unit Testing

Code Review

Continuous Integration

SQL

Data Analytics

Time Series Analysis

Window Functions

Data Modeling

SQL Query Optimization

Swish Analytics

Sports analytics and optimization tools provider

About Swish Analytics

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$6.5MTotal Funding

EARLY_VCCompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

51-200Employees

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.

Consumer privacy concerns may impact Swish Analytics' data collection practices.

Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.

The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.

Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.

The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.

Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

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