Join our small and nimble engineering team!
Work in our downtown San Francisco office a few times per week
Create and manage data collection scripts that utilize everything from basic HTTP requests to browser and mobile app automation
Build and maintain automation/scheduling tooling to ensure data is collected on a timely and consistent basis
Create data cleaning and normalization scripts (with some opportunity to integrate ML/LLMs if that’s of interest)
Design data analytics dashboards and tooling for continuous monitoring and improvement of the processed data
Help with miscellaneous DevOps tasks to help manage the infrastructure running all the above
Our codebase is mostly Python with Typescript and Golang used when they make sense
Skills: Python, SQL, Unix
Excited to work on a variety of different projects, sometimes many at the same time
Able to execute with minimal supervision
Bonus skills: Web Crawling, Docker, Kubernetes, Full Stack Web Development, Mobile App Development, Background in Statistics
Lunch provided when in office
Unlimited PTO
401k
Company paid Platinum PPO health and comparable dental & vision insurance
$100K - $150K salary, 0.25% - 1% equity
15 minute call with CTO about the position, your experience, and career goals
1st 30 minute technical screening call (coding interview)
2nd 30 minute technical screening call (coding interview)
Onsite at our office to learn more about us and to get a feel for how we’d work together
Offer extended
Skills Required
- Python
- SQL
- Unix
- Work in downtown San Francisco office a few times per week
- Create and manage data collection scripts (HTTP requests, browser and mobile app automation)
- Build and maintain automation and scheduling tooling for data collection
- Create data cleaning and normalization scripts
- Design data analytics dashboards and monitoring tooling
- Help with DevOps tasks and manage infrastructure
- Able to execute with minimal supervision
- Excited to work on a variety of projects, sometimes concurrently
- Typescript
- Golang
- Web Crawling
- Docker
- Kubernetes
- Full Stack Web Development
- Mobile App Development
- Background in Statistics
- Experience or interest in integrating ML/LLMs
What We Do
Spice Data provides enterprise-level restaurant data, licensing this information to leading Fortune 500 companies. Founded in 2019 and based in San Francisco, the company focuses on the restaurant industry, delivering high-quality data solutions designed for large-scale enterprise use to help organizations gain critical insights into the restaurant sector and optimize their business strategies.
