Senior Associate - Security Data Lake Engineer jobs in United States
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New York Life Insurance Company · 3 days ago

Senior Associate - Security Data Lake Engineer

New York Life Insurance Company is seeking a Security Data Lake Engineer to design, implement, and optimize their enterprise-scale security data lake and advanced analytics capabilities. The role involves building scalable data pipelines and collaborating with various teams to enhance detection and analytics capabilities, focusing on cybersecurity outcomes.

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H1B Sponsor Likelynote

Responsibilities

Architect, build, and manage data pipelines across AWS services (S3, Kinesis, Lambda), APIs, and Cribl
Ensure data lake performance and usability through indexing, query optimization, and aggregation pipeline management for 3.5TB+ daily volumes
Act as the dedicated owner to maintain data quality and prevent “data swamp” degradation
Establish a Data Lake Center of Excellence (C4E) to empower decentralized analytics development while maintaining governance and standards
Collaborate with security teams to define, develop, and deploy data-driven use cases
Build ML pipelines for anomaly detection, vector search, semantic search, and other advanced security analytics
Integrate and optimize Elasticsearch, vector databases, and KNN/percolator search capabilities
Develop and maintain Jupyter Notebook workflows for data wrangling, modeling, and analysis
Apply machine learning and natural language processing techniques, including retrieval-augmented generation (RAG)
Partner with AI adoption initiatives to ensure secure and effective use of enterprise data for AI/ML
Stay current with emerging technologies and techniques in data science, big data, and cloud analytics
Work closely with SOC Engineers, Threat Hunters, and data platform teams to integrate log sources and telemetry into the data lake
Provide guidance and mentorship across Cyber teams on building analytics use cases
Serve as the in-house expert to reduce reliance on external consulting spend, ensuring institutional knowledge is retained within NYL

Qualification

AWS servicesData engineeringMachine learningPythonElasticsearchData pipeline optimizationJupyter NotebooksNatural language processingData quality managementCollaborationMentorship

Required

5+ years of hands-on experience in data engineering, big data platforms, or applied data science
Proficiency with AWS services (S3, Kinesis, Lambda, Bedrock) and enterprise-scale analytics design
Strong programming skills in Python and/or Scala; experience with Jupyter Notebooks
Experience with indexing, query optimization, and data pipeline optimization at scale (3.5TB+ daily)
Advanced knowledge of Elasticsearch including advanced search methods (KNN vector search, percolator reverse search), and performance tuning, platform maintenance, etc
Experience applying ML techniques for anomaly detection, semantic search, embeddings, and NLP
Bachelor's degree in Computer Science, Data Science, Cybersecurity, or related field

Preferred

Familiarity with Cribl for data routing and transformation
Advanced degree in mathematics, computer science, or related empirical sciences
Previous experience in cybersecurity environments or willingness to learn security context quickly
Certifications in AWS Data Engineering, Machine Learning, or Big Data technologies a plus

Benefits

Leave programs
Adoption assistance
Student loan repayment programs

Company

New York Life Insurance Company

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For over 180 years, we’ve helped turn your biggest dreams into milestones that last a lifetime.

H1B Sponsorship

New York Life Insurance Company has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (149)
2024 (99)
2023 (85)
2022 (77)
2021 (48)
2020 (65)

Funding

Current Stage
Late Stage

Leadership Team

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Don Vu
Senior Vice President, Chief Data & Analytics Officer
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Deepa Soni
Executive Vice President and Chief Information Officer
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Company data provided by crunchbase