New York Life Insurance
Senior Associate - Security Data Lake Engineer
New York Life Insurance, Myrtle Point, Oregon, United States, 97458
Overview
Employer Industry: Insurance and Financial Services
Why Consider This Job Opportunity
Salary range up to $172,500
Eligibility for a discretionary bonus
Comprehensive benefits package including leave programs, adoption assistance, and student loan repayment programs
Opportunities for career advancement and growth within a Fortune 100 company
Collaborative and inclusive work environment that values diverse perspectives
Engage in innovative projects utilizing cutting‑edge technologies like AI and big data
Job Responsibilities
Architect, build, and manage data pipelines across AWS services and APIs
Ensure data lake performance and usability through optimization and management
Collaborate with security teams to develop and deploy data‑driven use cases
Build machine learning pipelines for advanced security analytics
Provide guidance and mentorship across cybersecurity teams to build analytics use cases
Qualifications
5+ years of hands‑on experience in data engineering, big data platforms, or applied data science
Proficiency with AWS services and enterprise‑scale analytics design
Strong programming skills in Python and/or Scala; experience with Jupyter Notebooks
Advanced knowledge of Elasticsearch and data pipeline optimization at scale
Bachelor’s degree in Computer Science, Data Science, Cybersecurity, or related field; advanced degree preferred
Preferred Qualifications
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 quickly
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Why Consider This Job Opportunity
Salary range up to $172,500
Eligibility for a discretionary bonus
Comprehensive benefits package including leave programs, adoption assistance, and student loan repayment programs
Opportunities for career advancement and growth within a Fortune 100 company
Collaborative and inclusive work environment that values diverse perspectives
Engage in innovative projects utilizing cutting‑edge technologies like AI and big data
Job Responsibilities
Architect, build, and manage data pipelines across AWS services and APIs
Ensure data lake performance and usability through optimization and management
Collaborate with security teams to develop and deploy data‑driven use cases
Build machine learning pipelines for advanced security analytics
Provide guidance and mentorship across cybersecurity teams to build analytics use cases
Qualifications
5+ years of hands‑on experience in data engineering, big data platforms, or applied data science
Proficiency with AWS services and enterprise‑scale analytics design
Strong programming skills in Python and/or Scala; experience with Jupyter Notebooks
Advanced knowledge of Elasticsearch and data pipeline optimization at scale
Bachelor’s degree in Computer Science, Data Science, Cybersecurity, or related field; advanced degree preferred
Preferred Qualifications
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 quickly
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr