Senior Data Engineer

TL;

DR

Kharon is seeking a full‑time Senior 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.

• 5+ years of experience in software or data engineering and a BS/MS in Computer Science, Engineering, or a related field preferred.
• 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 setting up infrastructure and using 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.
• Experience taking a project from inception and design to production.
• 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.

Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce.

What does that mean? Great question.

Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible.

From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of 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.

When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. Now, we’re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior Data Engineer to join us as we work to shape the way businesses perceive and navigate global risks.

Reporting to the Associate Director of Data Engineering, this role is critical to driving the evolution of the data infrastructure that underpins our intelligence platform. In this senior engineering role, you will help lead in the design and implementation of scalable systems and resilient ETL pipelines that support a suite of analytic products. You’ll contribute to the architecture, tooling, and best practices that ensure structured and unstructured data is ingested, transformed, and delivered reliably, securely, and s position is…