-
View all jobs
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
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.
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.
- 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.
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.
Key Skills
Ranked by relevance
sql
javascript
typescript
devops
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Frontend Developer
2026-05-20
Full-time
Entry
United Kingdom
Spectator Sports
Engineering
View Job Details
Related
Data Scientist, Machine Learning
2026-05-26
Full-time
Not Applicable
United States
Spectator Sports
Engineering
View Job Details
Related
Data Scientist
2026-05-11
Full-time
Not Applicable
United States
Spectator Sports
Engineering
Login to Apply
- Posted
- Sep 22, 2025
- Type
- Full-time
- Level
- Entry
- Location
- San Francisco
- Company
- Swish Analytics
Industries
Spectator Sports
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Frontend Developer
2026-05-20
Full-time
Entry
United Kingdom
Spectator Sports
Engineering
View Job Details
Related
Data Scientist, Machine Learning
2026-05-26
Full-time
Not Applicable
United States
Spectator Sports
Engineering
View Job Details
Related
Data Scientist
2026-05-11
Full-time
Not Applicable
United States
Spectator Sports
Engineering