TL;DR Kharon is seeking a full-time Principal Data Engineer to join our team in Denver, CO. This role requires in-office attendance.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering, or a related field preferred.
• 10+ years of experience in software or data engineering, with 2+ years in a senior or staff-level technical leadership role.
• Deep expertise in building scalable data architectures and distributed data systems.
• Proven track record of leading technical teams, providing mentorship, and fostering professional growth among engineers.
• Strong programming skills in Python, Java, or similar languages.
• Hands-on experience with pipeline frameworks like Airflow, Spark, or Databricks.
• Strong background in data warehousing technologies such as Snowflake, Clickhouse, or Athena.
• Experience with LLM tools and vector databases (e.g., Langchain, FAISS, Pinecone) is a plus.
• Proven ability to collaborate across functions and translate complex requirements into scalable technical solutions.
  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 Director of Growth Marketing to join us as we work to shape the way businesses perceive and navigate global risks.
  Reporting to the Engineering Director, this role is critical to driving the evolution of the data infrastructure that underpins our intelligence platform. In this senior technical role, you will lead the design and implementation of scalable systems and resilient ETL pipelines that support a growing suite of analytic products. You’ll own the architecture, tooling, and best practices that ensure structured and unstructured data is ingested, transformed, and delivered reliably, securely, and at scale. This position is ideal for an experienced data architect who thrives on solving foundational engineering challenges, shaping data strategy, and mentoring teams in building systems that are precise, performant, and built for the future.
  To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don’t take ourselves seriously but we’re serious about the work we do and there is absolutely no slowing us down.

To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We’re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect:

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

Interested? Please apply by visiting our website and navigating to our careers page! We do our best to respond to each application we receive. Be on the lookout for an email from apply@kharon.com!
The base salary range at Kharon is set between $275,000 - $290,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.
Kharon is an equal opportunity/affirmative action employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.
If you are an individual with disabilities who needs accommodation or you are having difficulty using our website to apply for employment, please contact
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• Design and optimize batch and real-time data pipelines using modern orchestration and processing frameworks.
• Architect and implement scalable, resilient data infrastructure and systems to support analytics, intelligence, and product use cases - ensuring they align with Kharon’s vision and mission.
• Define and champion best practices in data modeling, ETL, data governance, and system design..
• Collaborate with engineering, data science, and product teams to ensure data architecture aligns with strategic goals and operational needs.
• Lead the adoption and integration of LLM-related tooling and vector databases into Kharon’s data platform.
• Mentor engineers in data engineering principles, architecture design, and technical decision-making.
• Identify and resolve performance bottlenecks across the data stack.