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 officeThis role is hybrid (3 days in the office with Mondays & Fridays working remote)Company SummaryAt 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 SummaryWe 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 Azurecloud, 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 ResponsibilitiesEngages in collaborative relationships across architecture, product management, data, and product delivery teams to design, implement solutions based on defined business challenges and outcomesParticipate on scrum teams working in short sprints and ensure on time delivery with high qualityBuild and maintain data engineering solutions on cloud platforms using AWS or Azure servicesDesign, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrationsImplement data quality and validation checks to ensure accuracy and consistency of dataCollaborate 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 analysisMonitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issuesStay updated with the latest technologies and trends in big data, data engineering, data science, and REST API development, and provide recommendations for process improvementsUse AWS Cloud technologies to support data needs for expansion of Machine Learning/Data Science capabilities, applications/mobile apps/systems, BI/analytics, and cross-functional teamsCreate methods and routines to transition data from on-premise systems to the AWS CloudStore data in Cloud platform and develop transformational logic based on business rulesBuild the infrastructure required for optimal ETL/ELT (extraction, transformation, and loading) of data from a wide variety of data sources using SQL and AWS big data technologiesDevelop and debug code in PySpark/Spark/Python.
Strong SQL and query optimization techniquesMaintaining high degree of knowledge and expertise in cloud-based technologies contributing to go forward best practices, standards, and patternsActive participant in relevant communities of practice to exchange ideas and knowledgeRequired SkillsExperience with database technologies for structured and unstructured data both for storage and optimal retrievalExperience in data management of Content and Content data storesExperience with AWS Cloud tools like Amazon Relational Database Service (AWS RDS), Redshift, AWS Database Migration Service (AWS DMS), AWS Glue, Amazon Simple Storage Service (AWS S3), AWS Lambda triggers & functions, etc.
Strong, demonstratable hands-on experience with data engineering and data pipelinesProficiency with languages such as Python, PySpark, Java etc.
Experience with developing Cloud-native applications and very good understanding of Cloud architecture and best practicesExperience with relevant code repository and project tools such as GitHub, JIRA, ConfluenceWorking experience with Continuous Integration, Continuous Deployment CI/CDExperience with highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasetsExperience with Data integration, data processing, data streaming, message queuing techniquesDetail oriented individual with strong analytical, problem-solving, and organizational skillsAbility to clearly communicate to both technical and business teams Desired Skills:
Solid understanding of the insurance, wealth management or financial services industryKnowledge of scripting tools on multiple platforms preferredExtensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirableExperience in developing solutions leveraging LLMs a plusKnowledge of machine learning pipelines and frameworks like MLFlow a plusStrong hands-on experience and extensive development experience with API integrations a plusEducation / TrainingBachelor s degree in Computer Science or an Engineering disciplineCertification in data management (structure and unstructured), and/or cloud architecture or engineering a plusCertification in delivery methodologies such as Scaled Agile a plusPrevious Experience8
years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutionsAdditional AttributesTrusted and respected team member putting objectives of the team over individuals.
Comfortable, experienced, and accomplished at working with business stakeholders, and able to debate and challenge in a professional and diplomatic way.
Highly Collaborative and supportive of business and of its ideals and strategies.
Highly innovative with aptitude for foresight, systems thinking and design thinking.
More interested in achieving targeted business outcomes and what is best for the organization than in personal preferences, or in vested personal preferences of other business and IT leaders.
Composed in the face of opposition to technology principles, governance, and standards.
Practical in approach to problem solving and decision making, with a bias towards simplifying processes.
SF:
LI-CC1SF:
LI-PC1Salary range:
$132,500-$197,500 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.
Job Requisition ID:
89213.
Estimated Salary: $20 to $28 per hour based on qualifications.
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 officeThis role is hybrid (3 days in the office with Mondays & Fridays working remote)Company SummaryAt 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 SummaryWe 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 Azurecloud, 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 ResponsibilitiesEngages in collaborative relationships across architecture, product management, data, and product delivery teams to design, implement solutions based on defined business challenges and outcomesParticipate on scrum teams working in short sprints and ensure on time delivery with high qualityBuild and maintain data engineering solutions on cloud platforms using AWS or Azure servicesDesign, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrationsImplement data quality and validation checks to ensure accuracy and consistency of dataCollaborate 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 analysisMonitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issuesStay updated with the latest technologies and trends in big data, data engineering, data science, and REST API development, and provide recommendations for process improvementsUse AWS Cloud technologies to support data needs for expansion of Machine Learning/Data Science capabilities, applications/mobile apps/systems, BI/analytics, and cross-functional teamsCreate methods and routines to transition data from on-premise systems to the AWS CloudStore data in Cloud platform and develop transformational logic based on business rulesBuild the infrastructure required for optimal ETL/ELT (extraction, transformation, and loading) of data from a wide variety of data sources using SQL and AWS big data technologiesDevelop and debug code in PySpark/Spark/Python.
Strong SQL and query optimization techniquesMaintaining high degree of knowledge and expertise in cloud-based technologies contributing to go forward best practices, standards, and patternsActive participant in relevant communities of practice to exchange ideas and knowledgeRequired SkillsExperience with database technologies for structured and unstructured data both for storage and optimal retrievalExperience in data management of Content and Content data storesExperience with AWS Cloud tools like Amazon Relational Database Service (AWS RDS), Redshift, AWS Database Migration Service (AWS DMS), AWS Glue, Amazon Simple Storage Service (AWS S3), AWS Lambda triggers & functions, etc.
Strong, demonstratable hands-on experience with data engineering and data pipelinesProficiency with languages such as Python, PySpark, Java etc.
Experience with developing Cloud-native applications and very good understanding of Cloud architecture and best practicesExperience with relevant code repository and project tools such as GitHub, JIRA, ConfluenceWorking experience with Continuous Integration, Continuous Deployment CI/CDExperience with highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasetsExperience with Data integration, data processing, data streaming, message queuing techniquesDetail oriented individual with strong analytical, problem-solving, and organizational skillsAbility to clearly communicate to both technical and business teams Desired Skills:
Solid understanding of the insurance, wealth management or financial services industryKnowledge of scripting tools on multiple platforms preferredExtensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirableExperience in developing solutions leveraging LLMs a plusKnowledge of machine learning pipelines and frameworks like MLFlow a plusStrong hands-on experience and extensive development experience with API integrations a plusEducation / TrainingBachelor s degree in Computer Science or an Engineering disciplineCertification in data management (structure and unstructured), and/or cloud architecture or engineering a plusCertification in delivery methodologies such as Scaled Agile a plusPrevious Experience8
years of experience in data engineering, machine learning, and cloud tech developing production grade software components and solutionsAdditional AttributesTrusted and respected team member putting objectives of the team over individuals.
Comfortable, experienced, and accomplished at working with business stakeholders, and able to debate and challenge in a professional and diplomatic way.
Highly Collaborative and supportive of business and of its ideals and strategies.
Highly innovative with aptitude for foresight, systems thinking and design thinking.
More interested in achieving targeted business outcomes and what is best for the organization than in personal preferences, or in vested personal preferences of other business and IT leaders.
Composed in the face of opposition to technology principles, governance, and standards.
Practical in approach to problem solving and decision making, with a bias towards simplifying processes.
SF:
LI-CC1SF:
LI-PC1Salary range:
$132,500-$197,500 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.
Job Requisition ID:
89213.
Estimated Salary: $20 to $28 per hour based on qualifications.
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