Data Engineer (Remote)

TL;DR Kharon is seeking a full-time, US-based Data Engineer based within commuting distance to one of our hub locations in LA, Denver, Washington DC or NYC.

Responsibilities: 

• Helping build large-scale distributed data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.

• Creating data pipelines and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.

• Working with product and business teams to define novel and critical metrics for the business, and building and maintaining data aggregates to power these metrics.

• Building systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.

• Taking full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.

• Collaborating with Machine learning / Deep learning researchers and backend engineers to implement scalable solutions to solve complex problems.

Qualifications: 

• 2+ years of experience, not including internships, as a software engineer or a data engineer with a strong passion to learn.

• BS/MS in Computer Science or equivalent experience in related fields.

• SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc

• Experience in one or more of the following languages: Python, Scala, Golang, Java, C++, NodeJS, etc.

• Strong verbal and written communication skills.

Bonus if you also have:

• Experience with big data technologies like Spark, Delta, Databricks.

• Experience with data modelling for data warehousing technologies like Snowflake, Redshift or Big Query.

• Experience working with or data modelling for graph databases like Neo4J, Neptune, etc

• Understanding of elasticsearch data and query modelling is a big plus.

• Container-based deployment experience using Docker and Kubernetes.

• Experience with stream-processing systems: Storm, Spark-Streaming, Flink, etc.

• Experience with DevOps methodologies and tools for automating and monitoring systems.

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 …