Python Data Engineer

This role would be for ad-hoc projects as needed. Some weeks it might be 20 hours; some might be just 5 hours. You would be working with our full time data engineer on these ad-hoc projects. Our small company has 6 tea ---------- mbers, half located in USA and half in the Philippines. The projects involve building automation to help our small business grow! We have fun, as we seek to use our gifts and skills to improve the lives of customers, and each other's lives.

To be successful in this role and be a good fit with our company, you will need these core values:
- Possessing the habit, for every project, of thoroughly thinking through your approach and thoroughly QA-ing your work throughout
- A passion for improving processes, leaning forward and proactively identifying ways code or data flows can be improved
- Resourcefulness. Not just trusting what you know already, but finding new and better ways to perform your work
- Strong documentation practices

Your skillsets needed to be successful:
- Strong data engineering skills in Python, with experience in data manipulation libraries (e.g., Pandas, NumPy).
- Strong experience in engineering best practices like error handling, validation, cleaning, writing your code to withstand the test of time
- 1yr experience with SQL and relational databases.
- A plus (but not required): experience with Javascript and React for light front end development on our Shopify store