✨ About The Role
- Responsible for scaling, engineering, and maintaining critical data pipelines at Keeling Labs
- Designing and building bespoke integrations to various grid infrastructure to optimize energy trading
- Focus on cost optimization of cloud compute resources and data architecture planning
- Opportunity to work on ML engineering and continuous learning in a fast-paced, impactful environment
- Directly contributing to reducing emissions, controlling physical infrastructure, and scaling climate solutions through innovative technology
⚡ Requirements
- Experienced data engineer with a minimum of 3 years in the industry, specializing in building data pipelines and cloud systems, particularly on the backend
- Self-starter with a proven track record of translating company goals into data implementations and taking on significant responsibility
- Proficient in Python, Spark, and Terraform, with strong coding abilities and experience with Kubernetes and AWS
- Skilled in designing, implementing, iterating, and scaling real data pipelines in production from scratch
- Mission-driven individual passionate about making a tangible impact on climate change through their work at Keeling Labs