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Spice Data

Software Engineer

Posted 2 Days Ago
Hybrid
San Francisco, CA, USA
100K-150K Annually
Mid level
Hybrid
San Francisco, CA, USA
100K-150K Annually
Mid level
Work on data collection, automation, and data processing pipelines; build scheduling tooling, data cleaning/normalization, monitoring dashboards, and assist with DevOps. Mostly Python codebase with some Typescript and Golang. Office presence in downtown San Francisco a few times per week.
The summary above was generated by AI

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

About you
  • 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

Benefits
  • 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

About the interview
  1. 15 minute call with CTO about the position, your experience, and career goals

  2. 1st 30 minute technical screening call (coding interview)

  3. 2nd 30 minute technical screening call (coding interview)

  4. Onsite at our office to learn more about us and to get a feel for how we’d work together

  5. Offer extended

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