Data Engineer

About Kharon

Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats and international commerce. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape by taking complex data related to global security and empowering clients to understand and operationalize risk associated with their potential business relationships.

From financial crimes and sanctions to export controls and threat identifications, Kharon products optimize protection against risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled.

The company is experiencing unprecedented growth as the world continues to evolve in complexity and demand for its products increases. With a team made up of visionary and uncompromising individuals, Kharon is committed to shaping the way businesses perceive and navigate global risks.

Kharon is seeking a full-time Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 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.

• 3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn.
• BS/MS in Computer Science or equivalent experience in related fields.
• Experience in Python, Pandas, PySpark, and Notebooks.
• SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc.
• Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence.
• Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent.
• Container-based deployment experience using Docker and Kubernetes.
• Strong verbal and written communication skills.

• Experience working with or data modeling for graph databases like Neo4J, Neptune, etc.
• API experience using FastAPI, Flask, Spring Boot or equivalent.
• Understanding of elasticsearch data and query modeling.
• Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk.

• Fully sponsored medical, dental, and vision insurances
• FSA program for both medical and dependent care
• Long term disability
• 401k + Roth with matching and immediate vesting
• Flexible paid time off + 11 paid holidays

The base salary range is $120,000 to $160,000 per year. This figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.

Department: Engineering

Location: Denver