Senior Data Engineer

Core responsibilities of this role include:

• Collect, standardize, clean, and organize heterogeneous mineral exploration data from various sources, handling the idiosyncrasies of each dataset
• Build tooling to support field operations such as dashboards, visualizations, data processing pipelines, and integrations with third-party software
• Build scalable, reliable, and performant systems to support data operations in collaboration with the engineering team
• Eliminate work through automation and efficiency improvements, and optimize existing systems to increase scale and velocity of data processing

This role helps realize KoBold's vision of making mineral exploration data broadly accessible to humans and machines, enabling systematic exploration and materially improved success rates, which supports the transition to electrification and helps solve climate change.

Required qualifications include:

• At least 5 years of experience in a Data Engineering or Software Engineering role, ideally working on a data product
• Proficiency in large-scale system design, Python (including pandas and Dask), and performance optimization for data storage and serving
• Discerning ability, curiosity, and initiative to identify inefficiencies and opportunities for automation, with creativity and follow-through to address problems systematically
• Track record of scaling a fast-growing product in a startup or small team, and collaborative attitude to work with diverse stakeholders

The US base salary range for this full-time exempt position is $140,000-$180,000. KoBold Metals is an equal opportunity workplace and affirmative action employer committed to diversity and inclusion.

KoBold Metals is a rapidly growing Silicon Valley start-up using AI to enable the transition to electrification and help solve climate change, backed by premier VCs including Bill Gates' Breakthrough Energy Ventures.