Senior Associate - Data Engineer

Location Designation

Hybrid - 3 days per week

Overview

We 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 nascent and modern technologies and platforms including AWS and Azure cloud, 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

What You'll Do

• Engages in collaborative relationships across architecture, product management, data and product delivery teams to design, implement solutions based on defined business challenges and outcomes
• Participate in scrum teams working in short sprints and ensure on time delivery with high quality
• Build and maintain Data engineering solutions on cloud platforms using AWS or Azure services
• Design, develop, and implement scalable data transformations and ETL / ELT processes using Python, PySpark, and data integration tools IDMC, DBT
• Collaborate with Data Architects and Data analysts to understand data requirements and translate them into scalable, high performant data integration and pipeline solutions
• Develop and maintain data models and schemas to support data integration and analysis
• Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues
• Optimize and tune data integration pipelines for performance, reliability, and scalability
• Implement data quality and validation checks to ensure accuracy and integrity of data through testing
• Build the infrastructure required for optimal ETL / ELT of data from a wide variety of data sources using SQL and AWS big data technologies
• Develop and debug code in PySpark / Spark / Python. Strong SQL and query optimization techniques
• Maintaining high degree of knowledge and expertise in cloud-based technologies contributing to go forward best practices, standards and patterns
• Active participant in relevant communities of practice to exchange ideas and knowledge

What You'll Bring

Pay Transparency

Salary Range : 95,000-162,500

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.

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. 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 : 92494

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