Kharon is seeking a full-time Data Engineer based in Denver, Colorado. This role requires in-office attendance at least 4 days a week.

Requirements

Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.
Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.
Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.
Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems.
Interact and develop with internal and external APIs.
Work with product and business teams to define novel and critical metrics for the business.
Follow good engineering practices like documentation, diagrams, and unit/validation tests
Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.

Benefits

Kharon is seeking a full-time Data Engineer based in Denver, Colorado. This role requires in-office attendance at least 4 days a week.

Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.
Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.
Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.
Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems.
Interact and develop with internal and external APIs.
Work with product and business teams to define novel and critical metrics for the business.
Follow good engineering practices like documentation, diagrams, and unit/validation tests
Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.