Senior Data Engineer Gen AI

Location Designation: Hybrid 

 

 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

 

 

Location: Clinton, NJ or New York City office

This role is hybrid (3 days in the office with Mondays & Fridays working remote)

 

Company Summary

At the heart of New York Life is a commitment to be there for our customers when they need us—whether today or decades into the future. We have delivered on that promise for over 175 years by investing wisely, growing a portfolio of strategic businesses, and remaining true to our mission as a mutual company, accountable only to our customers, not to outside investors. For our customers, that means having the confidence that comes with knowing they can build a better future for themselves and those they love.

 

As a mutual, we are fully aligned with our policy owners, not with outside investors or Wall Street. This allows us to focus on delivering lifelong value to our clients, including sharing our success with eligible participating policy owners through non-guaranteed dividends, which we've paid for 166 consecutive years.

 

People come to work at New York Life to contribute to the financial goals of millions of families and businesses each day. We have a diverse, nationwide workforce that allows us to support the communities where we work. Our purpose-driven mind-set has attracted people who want to do good and has resulted in great success for our company and our customers.

 

The Foundational Business at New York Life provides life insurance and investment products to our customers through a network of over 12,000 licensed agents. Technology and digital are central to our agent, customer and employee needs and as these evolve our Technology organization is transforming rapidly.

 

New York Life is embarking on a significant digital evolution which demands robust digital capabilities, exceptional user experience and connected data. To execute on our strategic plans, we have launched Blueprint.  At the heart of this program sits our Operational Model consisting of Value Streams (VS) and Centers for Enablement (C4E) powered by our Scaled-Agile delivery execution model.

 

Role Summary

We are seeking energetic and passionate senior data engineer to design and execute our company’s modern data management strategy. As a key member of Enterprise Data Platform team, you will work with talented engineers, architects, data scientists and end users to reimagine, design and build the next generation of Insurance solutions in the cloud leveraging ancient and modern technologies and platforms including AWS and Azure cloud, APIs, and AI. 

 

You will be responsible for the design, development and deployment of optimal data pipelines taking advantage of leading-edge technologies through experimentation and iterative refinement. You will assist other team members in building and executing automation that effectively and repeatably ensures quality, security, integrity, and maintainability of our solutions. You will also be responsible for the evaluation of existing data pipeline architecture, evolve and enhance the foundation, participate in product ideation and technology stack evaluation and recommendations.

 

Key Responsibilities

• Engages in collaborative relationships across architecture, product management, data, and product delivery teams to design, implement solutions based on defined business challenges and outcomes
• Participate on scrum teams working in short sprints and ensure on time delivery with high quality
• Build and maintain data engineering solutions on cloud platforms using AWS or Azure services
• Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations
• Implement data quality and validation checks to ensure accuracy and consistency of data
• Collaborate with data scientists and analysts to understand data requirements and translate them into scalable, high performant data pipeline solutions.
• Develop and maintain data models and schemas to support data integration and analysis
• Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues
• Stay updated with the latest technologies and trends in big data, data engineering, data science, and REST API development, and provide reco