Data Engineering Graph Analyst, Senior

Key Role:

Support the development and maintenance of scalable data stores that supply network graph data needed to support analytics and data science. Apply leading-edge principles, theories, and concepts on graph storage and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both firm and technical competencies.

Basic Qualifications:

  • Experience with network graph database platforms that include neo4j, Azure CosmosDB, and Amazon Neptune

  • Experience with graph programming languages that include Gremlin and SPARQL

  • Experience with deploying large scale graph databases to the cloud

  • Ability to obtain a security clearance

  • BS degree in Engineering, Physics, Computer Science, or Mathematics

Additional Qualifications:

  • Experience with software development processes, including Agile

  • Experience with big data engineering platforms such as Databricks and corresponding graph solutions such as GraphFrames

  • MS degree in Engineering, Physics, Computer Science, or Mathematics preferred

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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