Data Engineer, Graph Analytics & Machine Learning

Responsibilities:

• Design and maintain ETL pipelines that ingest, process, and load data into AWS Neptune
• Develop and evolve graph data models representing relationships across users, sessions, devices, and security events
• Integrate diverse data sources including S3, relational databases, streaming services, and APIs into a cohesive graph architecture

Requirements:

• 4+ years of experience in data engineering or backend data systems (SaaS experience preferred)
• Strong proficiency in Python for building and maintaining data pipelines
• Working knowledge of SQL for data analysis and validation

Benefits:

• Medical, Dental & Vision (Inclusive of domestic partnerships)
• Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
• 401k (Roth/Traditional)