Location Designation: [[custrolelocationdesignation]]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.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.Responsibilities
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.
Required qualifications.
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: [[custsalaryRangePosting]]Overtime eligible: [[customString6]]Discretionary bonus eligible: [[custmerit]]Sales bonus eligible: [[stockPackage]]Click here to learn more about ourbenefits (https://www.newyorklife.com/careers/corporate/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 (https://www.newyorklife.com/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 visitLinkedIn (https://www.linkedin.com/company/newyorklife/) , ourNewsroom (https://www.newyorklife.com/newsroom/) and theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .Job Requisition ID: [[id]]
