Build and maintain scalable data models, pipelines, ETL workflows, and streaming solutions using dbt, PySpark, AWS Glue, Databricks, and Kafka. Apply software engineering practices including testing, version control, code reviews, and integration. Partner with data scientists, stakeholders, and data stewards to improve data quality, governance, accessibility, and reliability. Translate requirements into development plans and Jira stories while collaborating on data strategy, tooling, integrations, and deployments.
Location Designation: Hybrid - 3 days per week
Technology, Data, AI and Ventures:
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.
Role Overview
Join New York Life's Data Engineering team and help deliver clean, well-structured, and reliable data that powers business, analytics, and AI solutions across the enterprise. In this role, you will design and maintain scalable data pipelines, contribute to data and engineering standards, and partner with data scientists, technology teams, and business stakeholders to make enterprise data more accessible and valuable.
You will apply modern data engineering practices and technologies, including dbt, PySpark, AWS Glue, Databricks, and Kafka, while helping ensure data solutions meet expectations for quality, consistency, governance, and scalability.
What You'll Do
What You'll Bring
Required Skills
Preferred Skills
Job Level: LEVELPF2
Pay Transparency
Salary Range: $81,000-$115,500
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
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.
Job Requisition ID: 95121
#BI-Hybrid
Technology, Data, AI and Ventures:
Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes.
Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.
Role Overview
Join New York Life's Data Engineering team and help deliver clean, well-structured, and reliable data that powers business, analytics, and AI solutions across the enterprise. In this role, you will design and maintain scalable data pipelines, contribute to data and engineering standards, and partner with data scientists, technology teams, and business stakeholders to make enterprise data more accessible and valuable.
You will apply modern data engineering practices and technologies, including dbt, PySpark, AWS Glue, Databricks, and Kafka, while helping ensure data solutions meet expectations for quality, consistency, governance, and scalability.
What You'll Do
- Build and maintain scalable data models and pipelines using dbt, PySpark, AWS Glue, Databricks, and streaming technologies to deliver clean, reliable, and well-structured data for analytics, data science, and AI use cases.
- Apply software engineering best practices across data development, including version control, testing, integration, code reviews, and pull request approvals, to promote quality and consistency.
- Partner with data scientists, business stakeholders, and data stewards to source strategic enterprise data, address data quality and availability needs, and align solutions with data governance standards.
- Translate business and technical requirements into actionable development plans and Jira stories, establish milestones, and manage work through delivery.
- Collaborate with Technology teams on data strategy, tooling, system integrations, and deployment processes while clearly communicating technical concepts and recommendations to diverse stakeholders.
What You'll Bring
Required Skills
- 2-5+ years of relevant data engineering or related experience, including hands-on experience building and maintaining dbt data models and transformation pipelines.
- Proficiency with AWS Glue, including ETL development, job orchestration, and catalog integration, and experience using PySpark for data processing.
- Strong working knowledge of Databricks, including SQL, notebooks, and distributed data processing.
- Experience with Kafka or comparable streaming technologies for real-time data ingestion and processing.
- Strong analytical and problem-solving skills, with the ability to troubleshoot complex data and engineering issues and develop practical solutions.
- Effective communication and collaboration skills, with the ability to work across technical and business teams and explain technical concepts to varied audiences.
Preferred Skills
- Experience with Google Cloud Platform (GCP) or related cloud data technologies.
- Experience working in the insurance, financial services, or another regulated industry.
- Experience partnering with data science teams to support analytics, machine learning, or AI use cases.
Job Level: LEVELPF2
Pay Transparency
Salary Range: $81,000-$115,500
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
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.
Job Requisition ID: 95121
#BI-Hybrid
New York Life New York, New York, USA Office
51 Madison Avenue, New York, NY, United States, 10010
New York Life Jersey City, New Jersey, USA Office
New York Life Jersey City, NJ Office
30 Hudson Street , Jersey City, New Jersey, United States, 07302
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What you need to know about the NYC Tech Scene
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