Query and analyze complex graph data in AWS Neptune using Gremlin
Develop and maintain Python-based scripts for data extraction, cleaning, transformation, and exploratory analysis
Perform data validation, profiling, and consistency checks across multiple data sources and entity types
Define and document entity relationships, schema mappings, and graph traversal patterns
Produce curated datasets for machine learning model training, evaluation, and threat research
Identify data quality issues, missing relationships, anomalous patterns, and signal gaps through exploratory analysis
Create and maintain query templates, analysis notebooks, and data lineage documentation
Collaborate with data engineers and ML engineers to refine data models and improve graph structure

2–4+ years of experience in data analysis, data operations, or graph data management in a technical environment
Strong proficiency in Python for data manipulation and analysis (Pandas, NumPy)
Hands-on experience writing and optimizing Gremlin queries for graph traversal
Experience working with graph databases such as AWS Neptune, Neo4j, TigerGraph, or similar
Solid understanding of data modeling, entity-relationship design, and graph traversal logic
Experience working with complex data pipelines in Python-based environments
Working knowledge of SQL as a supporting data analysis tool
Strong analytical reasoning and ability to communicate technical findings to diverse audiences
Familiarity with cloud platforms (AWS preferred)
Bachelor’s degree in Data Science, Computer Science, or a related field, or equivalent experience
Due to FedRAMP requirements, candidates must be a U.S. Person

Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses

Data Analyst, Graph Analytics – Machine Learning

Key skills