Expand and optimize data pipelines for cross-functional teams, support developers and analysts, implement process improvements, and build analytical tools for business insights.
Job Requisition ID: 93788
Location Designation: Fully Onsite
Location: 44 South Broadway, White Plains, New York 10601
Offered Wage: $137,583.00 - $171,500.00/year
Duties: Expand and optimize data, data pipelines, data flow and collection for cross-functional teams. Support software developers, database architects, data analysts, and data scientists related to data initiatives and ensure data design and delivery is consistent for business and technical efforts. Identify, design, and implement internal process improvements for greater scalability, optimize data delivery, and automate manual processes. Work with stakeholders to support data infrastructure needs and assist with data-related technical design efforts. Assemble large, complex data sets that meet non-functional and functional business requirements. Build required infrastructure for optimal data extraction, transformation, and loading (ETL) from multiple data sources using SQL technologies. Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition. Work with data, design, and product stakeholder teams and executive teams and assists with resolving data-related technical issues.
Education & Experience Requirements: Master's degree in Computer Science, Engineering Management, Information Technology, or a related field (willing to accept foreign education equivalent) plus three (3) years of experience in designing, developing, and implementing data solutions to solve business and technical challenges within the annuity and financial services industries. Alternatively, a Bachelor's degree in Computer Science, Engineering Management, Information Technology, or a related field (willing to accept foreign education equivalent) plus and five (5) years of experience in designing, developing, and implementing data solutions to solve business and technical challenges within the annuity and financial services industries. Experience must include 2 years in each of the following skills: Writing annuity-specific business applications to execute critical create, read, update, and delete (CRUD) operations related to annuity data warehouses leveraging SQL, SQL Server, and Oracle relational databases to support the development of annuity administration system rules and system transactional logics; Creating database objects (including entities, attributes, constraints, relationships, and joins) and relational database designs (including normalization) to support future business enhancements to the annuity administration system database leveraging MySQL and SQL Server relational database management systems and Amazon DynamoDB non-relational database management system; Providing fixed deferred annuities, variable deferred annuities, and immediate annuities and Oracle and SQL database technology subject matter expertise for existing database designs, data elements, and annuity administration systems operation to business and software development teams to facilitate seamless design, development, troubleshooting, and system enhancements for day-to-day business needs; Generating metrics-monitoring applications and dashboards to enable business and development teams to make data-driven decisions to improve current system performance and support future updates to the annuity administration and data warehouse leveraging Oracle, MySQL, SQL Server, and PostgreSQL relational databases, and Tableau and Qlik business intelligence (BI) reporting and data discovery tools; and, Writing relational database management system (RDBMS) annuity administration systems data warehouse queries leveraging data definition language (DDL), data manipulation language (DML), and data query language (DQL) to retrieve current data and update the database to understand existing system behavior and support future business needs, and perform administration system updates. Eligible for Employee Referral Program. To apply, visit https://jobs.newyorklife.com/ and search job title.
Pay Transparency
Overtime eligible: Exempt
Discretionary bonus eligible: No
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
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. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
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.
Job Requisition ID: 93788
Location Designation: Fully Onsite
Location: 44 South Broadway, White Plains, New York 10601
Offered Wage: $137,583.00 - $171,500.00/year
Duties: Expand and optimize data, data pipelines, data flow and collection for cross-functional teams. Support software developers, database architects, data analysts, and data scientists related to data initiatives and ensure data design and delivery is consistent for business and technical efforts. Identify, design, and implement internal process improvements for greater scalability, optimize data delivery, and automate manual processes. Work with stakeholders to support data infrastructure needs and assist with data-related technical design efforts. Assemble large, complex data sets that meet non-functional and functional business requirements. Build required infrastructure for optimal data extraction, transformation, and loading (ETL) from multiple data sources using SQL technologies. Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition. Work with data, design, and product stakeholder teams and executive teams and assists with resolving data-related technical issues.
Education & Experience Requirements: Master's degree in Computer Science, Engineering Management, Information Technology, or a related field (willing to accept foreign education equivalent) plus three (3) years of experience in designing, developing, and implementing data solutions to solve business and technical challenges within the annuity and financial services industries. Alternatively, a Bachelor's degree in Computer Science, Engineering Management, Information Technology, or a related field (willing to accept foreign education equivalent) plus and five (5) years of experience in designing, developing, and implementing data solutions to solve business and technical challenges within the annuity and financial services industries. Experience must include 2 years in each of the following skills: Writing annuity-specific business applications to execute critical create, read, update, and delete (CRUD) operations related to annuity data warehouses leveraging SQL, SQL Server, and Oracle relational databases to support the development of annuity administration system rules and system transactional logics; Creating database objects (including entities, attributes, constraints, relationships, and joins) and relational database designs (including normalization) to support future business enhancements to the annuity administration system database leveraging MySQL and SQL Server relational database management systems and Amazon DynamoDB non-relational database management system; Providing fixed deferred annuities, variable deferred annuities, and immediate annuities and Oracle and SQL database technology subject matter expertise for existing database designs, data elements, and annuity administration systems operation to business and software development teams to facilitate seamless design, development, troubleshooting, and system enhancements for day-to-day business needs; Generating metrics-monitoring applications and dashboards to enable business and development teams to make data-driven decisions to improve current system performance and support future updates to the annuity administration and data warehouse leveraging Oracle, MySQL, SQL Server, and PostgreSQL relational databases, and Tableau and Qlik business intelligence (BI) reporting and data discovery tools; and, Writing relational database management system (RDBMS) annuity administration systems data warehouse queries leveraging data definition language (DDL), data manipulation language (DML), and data query language (DQL) to retrieve current data and update the database to understand existing system behavior and support future business needs, and perform administration system updates. Eligible for Employee Referral Program. To apply, visit https://jobs.newyorklife.com/ and search job title.
Pay Transparency
Overtime eligible: Exempt
Discretionary bonus eligible: No
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
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. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
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.
Job Requisition ID: 93788
Top Skills
Amazon Dynamodb
MySQL
Oracle
Postgres
Qlik
SQL
SQL Server
Tableau
New York Life Insurance Company New York, New York, USA Office
51 Madison Avenue, New York, NY, United States, 10010
New York Life Insurance Company Jersey City, New Jersey, USA Office
New York Life Insurance Company Jersey City, NJ Office
30 Hudson Street , Jersey City, New Jersey, United States, 07302
Similar Jobs at New York Life Insurance Company
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
As a Senior Associate Data Engineer, you will build and maintain data pipelines, support analytics initiatives, and uphold data standards while collaborating with teams on data strategy and governance.
Top Skills:
Aws GlueDatabricksDbtGitKafkaPysparkSQL
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
As an AI Analyst, you will develop and deploy AI solutions, build data pipelines, collaborate cross-functionally, and contribute to transformational AI initiatives.
Top Skills:
AWSDatabricksDbtGenerative AiLlm ApisPythonSQL
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
This role involves accounting and reporting for derivatives, ensuring compliance, and collaborating with partners for accurate reporting and efficiency improvements.
Top Skills:
A I ToolsChatgptCopilotExcelMS Office
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
