Senior Associate: Data Engineer
About The Position
As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success. At New York Life will join a team of analytics engineers focused on delivering clean, well-structured, and reliable data to power various business and AI solutions across the enterprise. In this role, you will help define and uphold data and engineering standards, ensuring consistency, quality, and scalability. You will be an instrumental member of the Data and Analytics Engineering team, enabling enterprise-wide data activation and supporting advanced analytics initiatives.
Requirements
- 3-7+ years of experience with hands-on experience building and maintaining dbt data models and transformation pipelines.
- Proficiency with AWS Glue, including ETL development, job orchestration, and catalog integration.
- Strong working knowledge of Databricks, including SQL, notebooks, and distributed data processing.
- Experience with Kafka and streaming data pipelines for real-time ingestion and processing.
- Strong analytical thinking and problem-solving skills, with the ability to troubleshoot complex data issues.
- Ability to work collaboratively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Nice To Haves
- Experience in the insurance industry or other regulated industries (preferred).
Responsibilities
- Build and maintain dbt data pipelines to deliver clean, reliable, and well-structured data for data science and analytics use cases.
- Implement real-time data ingestion and processing using PySpark and AWS Glue.
- Apply software engineering best practices—including version control, testing, and integration—to all analytics and data development work.
- Review code changes and approve pull requests (PRs) in Git to ensure quality and consistency.
- Partner with stakeholders to explore, analyze, and source data from strategic enterprise data assets.
- Collaborate closely with data scientists on data quality, availability, and business value to support model development and analysis.
- Translate business and technical requirements into Jira stories, define milestones, and manage progress.
- Work with data stewards across New York Life to ensure alignment on data governance and standards.
- Build strong relationships with Technology (IT) teams to support tooling, data strategy, system integrations, and deployment processes.
- Communicate information and ideas effectively to diverse audiences across the organization.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
