Data Engineer, Graph Analytics & Machine Learning

Keeper Security•El Dorado Hills, CA

4h•Remote

About The Position

Keeper Security is hiring a Data Engineer to join the AI & Threat Analytics team and help build KeeperAI Guardian, our AWS Neptune–based knowledge graph platform for behavioral threat detection and analysis. This is a 100% remote position, with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro areas. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Join one of the fastest-growing cybersecurity companies and help design and build data pipelines and graph-based systems that directly power machine learning models and real-time threat analytics. About Keeper Keeper Security is transforming cybersecurity for organizations around the world with next-generation privileged access management. Keeper’s zero-trust and zero-knowledge cybersecurity solutions are FedRAMP and StateRAMP Authorized, FIPS 140-2 validated, as well as SOC 2 and ISO 27001 certified. Keeper deploys in minutes, not months, and seamlessly integrates with any tech stack to prevent breaches, reduce help desk costs and ensure compliance. Trusted by thousands of organizations to protect every user on every device, Keeper is the industry leader for best-in-class password management, secrets management, privileged access, secure remote access and encrypted messaging. Learn more at KeeperSecurity.com. About the Role As a Data Engineer on the KeeperAI Guardian team, you will design and maintain data pipelines, APIs, and graph-based storage systems that enable behavioral threat analytics. You will transform high-volume security telemetry from multiple Keeper services into a unified knowledge graph that supports anomaly detection, predictive threat modeling, and intelligent security insights. You will work closely with ML engineers, security researchers, and data analysts to build the data foundation that makes AI-driven threat detection possible.

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
Hands-on experience with AWS data services such as S3, Glue, Lambda, Redshift, or similar
Experience with graph databases such as AWS Neptune or Neo4j, including Gremlin query language
Solid understanding of ETL best practices, data modeling, and schema design
Knowledge of data security and privacy principles, including experience handling regulated data (PII, PHI, or similar)
Strong software engineering fundamentals, including version control, testing, and CI/CD practices
Strong problem-solving skills and a commitment to continuous learning
Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field
Due to FedRAMP requirements, candidates must be a U.S. Person

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
Build tooling and automation for data validation, transformation, enrichment, and quality monitoring
Optimize graph query performance and ensure pipeline scalability and reliability
Collaborate with DevOps and security teams to maintain compliance with FedRAMP, NIST, and data privacy requirements
Document data workflows, schemas, and best practices to support team knowledge sharing

Benefits

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

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