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Data Engineer
Updated on 1/25/2023
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Development Operations (DevOps)
Pandas
Python
Requirements
  • Experience working with scientific or geospatial datasets
Responsibilities
  • Collect, standardize, clean, and organize heterogeneous mineral exploration data. This data comes from a variety of sources (government, third parties, collected in our own operations), includes multiple different types (unstructured text, images, tabular data, …), and comes in a variety of formats and cleanliness. This role will handle the idiosyncrasies of each data set
  • Build tooling to support our field operations such as dashboards, visualizations, data processing pipelines, integrations with third party software
  • Build scalable, reliable, and performant systems to support the above operations, in collaboration with the engineering team
  • Eliminate work through automation and efficiency improvements
  • Optimize existing systems and processes to increase scale and velocity of our data processing
  • Evangelize automation and engineering best practices throughout Kobold. Mentor other team members to adopt them
  • Work with data scientists and geoscientists to generate data that meet their data quality and accessibility requirements
  • At least 5 years of experience in a Site Reliability Engineering (SRE), DevOps or Software Engineering role, ideally working on a data product
  • Proficiency in large-scale system design
  • Proficiency in Python, including data processing libraries such as pandas and distributed computing frameworks such as Dask
  • Proficiency in performance optimization for data storage and serving
  • Discerning ability, curiosity and initiative to identify inefficiencies and opportunities for automation. Creativity and follow-through to address these problems in a systematic way
  • Track record of scaling a fast-growing product, in a startup or as a member of a small team
  • Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)
KoBold Metals

51-200 employees

Sustainable mining solutions