Job Description

Location Designation: Hybrid - 3 days per week 

This position primarily involves a hybrid work schedule - working remotely: Monday & Friday / on site: Tuesday, Wednesday and Thursday. 

Within Institutional Life at New York Life, you'll join a team dedicated to providing tailored life insurance solutions for businesses and organizations of all sizes. From corporate-owned life insurance (COLI) strategies to bank-owned life insurance (BOLI) programs, your work contributes to the financial well-being of countless institutions and their stakeholders. By designing customized life insurance solutions, you will empower institutions to invest in their long-term goals with confidence, fostering stability and growth for generations to come.

Role Overview:

We are seeking a skilled and motivated AWS Data Analyst/Engineer to join our team and play a pivotal role in developing, managing, and analyzing large-scale data solutions on AWS. This role blends expertise in data engineering, analytics, and cloud technologies, empowering the organization with insights to drive business decisions. The ideal candidate will have hands-on experience with AWS services, data pipelines, and visualization tools, along with a strong analytical mindset.

What You’ll Do:

1. Data Engineering and Pipeline Development

• Design, build, and maintain scalable ETL/ELT data pipelines using AWS services such as AWS Glue , Lambda , Step Functions , and Data Pipeline .
• Automate data ingestion and transformation from various sources, including S3, Redshift, RDS, DynamoDB, and on-premises systems.
• Implement and optimize data workflows for structured, semi-structured, and unstructured data.

2. Data Analytics and Insights

• Work closely with stakeholders to define key metrics and generate actionable insights.
• Build and optimize queries in Athena , Redshift , and other AWS services to analyze large datasets efficiently.
• Design, implement, and maintain dashboards and reports using tools like QuickSight and Tableau .

3. Data Governance and Quality

• Implement data governance policies , ensuring data security, compliance, and privacy (e.g., GDPR, CCPA).
• Develop and enforce best practices for data validation , error handling , and data lineage using tools like Lake Formation or AWS Glue Data Catalog .
• Monitor and improve data quality across multiple pipelines and systems.

4. Cloud Infrastructure and Optimization

• Optimize data storage and retrieval strategies for cost efficiency and scalability using AWS storage options like S3, Glacier, and Redshift Spectrum.
• Manage AWS infrastructure to ensure high availability and reliability for data solutions.
• Implement logging and monitoring strategies using CloudWatch and other AWS tools to ensure pipeline performance and fault tolerance.

5. Collaboration and Mentorship

• Partner with data scientists, analysts, and business teams to understand and meet data requirements.
• Mentor junior team members on AWS tools, best practices, and data workflows.
• Communicate technical solutions effectively to non-technical stakeholders.

What you'll bring:

1. Cloud Expertise :
   • Strong experience with AWS services, including S3 , Glue , Athena , Redshift , Lambda , Amplify , DynamoDB , RDS , EventBridge and Step Functions .
   • Familiarity with infrastructure-as-code tools like Terraform .
2. Data Engineering :
   • Expertise in building data pipelines, ETL/ELT workflows, and data processing frameworks.
   • Proficiency with data processing tools like Apache Spark (EMR), SQL , and Python .

This position primarily involves a hybrid work schedule - working remotely: Monday & Friday / on site: Tuesday, Wednesday and Thursday. 

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Pay Transparency

Salary Range: $72,500-$125,000  

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.

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 here to discover more about our comprehensive benefit options or visit our NYL Benefits Site .

Our Diversity Promise

We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership.

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 .

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Job Requisition ID: 91252

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