Job Closed
This listing is no longer active.
Manage, protect and monitor all your organization's passwords, secrets and remote connections with zero-trust security
Data Engineer, Graph Analytics – Machine Learning
Location
California
Posted
102 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer, Graph Analytics – Machine Learning
Keeper Security, Inc.
• 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
Job 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.
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
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer – Azure, AI, język niemiecki
Komatsu Poland Sp. z o.o.Maszyny budowlane - sprzedaż, wynajem, serwis. Jesteśmy wyłącznym dystrybutorem maszyn Komatsu w Polsce.
• Wspieraniu klientów w tematyce inżynierii i analityki dużych zbiorów danych w środowisku chmurowym – tworzenie rozwiązań od koncepcji po wdrożenie oraz inne fazy procesu SDLC/DDLC • Definiowaniu rozwiązań Data Intelligence i zarządzaniu ich wdrażaniem pod kątem technicznym i metodycznym • Wspieraniu celów biznesowych naszych klientów poprzez opracowywanie i wdrażanie rozwiązań analitycznych • Budowaniu Proof of Concept (PoC) i nadzorowaniu architektury Microsoft dla naszych klientów • Dzieleniu się wiedzą i pełnieniu funkcji trenerskiej w zakresie Azure Data Intelligence, oferowaniu wsparcia pracownikom, związanego z tematyką BI i analityką danych • Współpracy z innymi działami biznesowymi w celu dostarczania przydatnych rozwiązań analitycznych • Proponowaniu nowych możliwości wykorzystania danych, wdrażaniu nowoczesnych rozwiązań analitycznych oraz dbaniu o najwyższą jakość analiz i raportów, które pomagają kształtować strategiczne decyzje biznesowe
• Provide technical leadership and analytical expertise in data engineering, modeling and simulation (M&S), and systems analysis • Manage the technical execution of complex readiness, sustainment, and logistics modeling efforts • Integrate multidisciplinary engineering methodologies to ensure model development, data management, and analytical outputs align with program objectives • Collaborate with software developers, data scientists, and product managers to understand requirements and align on project goals • Design and implement data solutions that support software development initiatives • Participate in planning sessions to develop data pipeline architecture that aligns with project requirements • Design data ingestion, transformation, and storage workflows that are scalable • Implement data quality checks and validation procedures to ensure data accuracy and integrity • Conduct comprehensive testing, ensuring application quality and functionality stay in specifications • Document data engineering processes and ensure accuracy and completeness of all documentation • Manage projects, including planning, execution, and delivery
• Building scalable data solutions in the cloud. • Developing high-quality metrics and pipelines. • Real-time processing systems development.
• Responsible for building, maintaining, and scaling big data platforms • Work closely with Data Science teams to set up and automate machine learning models and algorithms for production use • Build and optimize ETL/ELT data pipelines that power business intelligence and analytics initiatives • Transform raw, structured, and semi-structured data into actionable insights • Leverage cloud services (AWS preferred) including Lambda, S3, SageMaker, and more to build scalable data solutions • Pair program with engineers, support analytics teams, and work within CI/CD pipelines
