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Corporate Vice President, Analytics Data Engineer

Location Designation: Hybrid - 3 days per week 

 

 

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.

 

 

Join Strategic Capabilities and collaborate with a winning team developing and executing game-changing business strategies, informed by cutting-edge data and competitive insights. Fuel business growth through smart acquisitions, innovative partnerships, and impactful technology integration. Leverage AI and strategic data management to bring ideas to life, all while ensuring effective governance and project management.

 

We are seeking a skilled and experienced engineer to join our AI&D group. You will be responsible for designing, developing, and maintaining robust data pipelines to build data products. You will provide clean transformed data to support our data-driven initiatives by building transformation pipelines that adhere to software engineering best-practice standards. You’ll be an instrumental member of the Analytics Data Engineering team, part of the wider AI & D group.  

 

What You’ll Do:

  • Design, build and maintain highly functional, simple, scalable and sustainable data products.
  • Design, build and maintain scalable data transformations.
  • Create data pipelines to provide clean transformed data for data science/analytics use cases.
  • Collaborate closely with stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Partner with data scientists, and stakeholders to help explore, analyze, and source data from our strategic sources.
  • Implement data models and structures to support data products and analytical tools.
  • Optimize and tune data pipelines for performance, reliability, and scalability.
  • Ensure data quality and integrity through thorough testing.
  • Maintain best practices in development, testing and version control.
  • Review code changes and approve pull requests (PRs) in Git
  • Convert requirements into Jira stories and provide milestones.
  • Partner with stakeholders regarding data quality, availability, and value of data
  • Collaborate with data stewards throughout NYL.
  • Build strong relationships with Technology (IT) and business stakeholders.
  • Effectively articulate information and ideas to a diverse group of people
  • Stay up to date with the latest Analytics Engineering trends/Data Engineering/emerging technologies and look for opportunities to improve the stack.

 

What You’ll Bring:

  • 7+ years of industry experience in data engineering, and data pipelining
  • Experience in building data products
  • Expert in advanced SQL and Python
  • Expert in ELT
  • Familiarity with dbt
  • Experience in automating and managing SQL using software engineering best practices.
  • Experience with big data platforms such as Redshift, Snowflake
  • Excellent command of Git
  • Experience with cloud compute environments (AWS) along with cloud-native tools
  • Experience with Agile/Scrum methodology and best practices.
  • Graduate-level degree in computer science, engineering, or relevant work experience
  • Excellent communication skills and the ability to work effectively in a collaborative team environment.

 

Preferred: 

  • Exposure to Generative AI and use of unstructured data
  • Insurance industry experience

 

 

 

Salary range: $122,500-$210,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

 

Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.

 

 

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn, our Newsroom and the Careers page of www.NewYorkLife.com.

Job Requisition ID: 90567

 

 

 

About NY Life Insurance Company

Diversity & Humanity–two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy.

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other–providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.

You are our future, and we commit to investing in you accordingly.

Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.

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Nearest Major Market: Manhattan
Nearest Secondary Market: New York City

Job Segment: Software Engineer, Test Engineer, Analytics, Database, Project Manager, Engineering, Management, Technology

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