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Software/ Data Engineer | Remote USA

Software Engineer | Python / Pandas / Linux / GCP | Fully Remote

 

SR2 are excited to be partnered with an impactful Tech for Good who, harnessing the power of Computer Vision and Machine Learning, are on a mission to dramatically decrease global commercial emissions.

 

They are looking for a data led Software Engineer who can assist in building new data architectures, writing robust Python code to allow them to call upon data, download imagery and automate data pipelines in their Kubernetes infrastructure.

 

You’ll be given a huge amount of autonomy alongside all the necessary tools and support to make this a hugely impactful and rewarding position.

Naturally, given their clear mission statement of making the world a cleaner place where emissions data is more easily accessible, this role would be well suited to someone that has a real interest in environmental sustainability.

 

What you’ll do:

·      Work alongside an experienced data team building the data backend for their proprietary software

·      Design and implement data architectures using Python

·      Structure data sets

·      Create links between various sources

·      Implement automation pipelines

·      Work with Python / Pandas / Linux / GCP

Their culture is one of a clear purpose and vision. There are no big egos, everyone is listened to, and everyone is super respectful of one another. Whilst they’re fully focused on their mission it’s not all serious faces and formal conversations – they have fun with it!

 

This is a fully remote position, with no requirement to head into an office.

 

Ultimately this is an opportunity to work for a hugely impactful organization who are playing a part in overcoming some of our biggest challenges in climate change.

 

Interested? We’d absolutely love to hear from you. Please apply with an up-to-date resume and we will reach out to arrange a call.

Job Information

Job Reference: 021121MHDE
Salary: 130000
Salary From: £120000
Salary To: £140000
Job Locations: Austin

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