Job description

TL;DR Kharon is seeking a full-time Senior Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 days a week. RESPONSIBILITIES: • 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. QUALIFICATIONS: • 5+ 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. NICE TO HAVE: • 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 is a big plus. • Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk. ABOUT KHARON: 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. 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 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 at Kharon is set between $160,000 to $200,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package. If interested in pursuing this position, please visit www.kharon.com/careers to apply. Kharon is an equal opportunity 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. #LI-AG1 #LI-Hybrid

Requirements

Must-haves

TL;DR Kharon is seeking a full-time Senior 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.
5+ 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.

Nice-to-haves

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 is a big plus.
Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awspythonsqldockerkubernetesapi

Platform: pinpoint
Effort: medium

Benefits

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Dental

Vision

401k

Paid Time Off