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Senior Associate - Enterprise Intelligence Analytics Engineer - New York Life
Data Engineer
Senior Associate – Enterprise Intelligence Analytics Engineer driving enterprise‑wide analytics foundations, building scalable data pipelines, and enabling AI‑driven decision making using Python, SQL, Spark, and AWS services.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and analytics models that support enterprise intelligence, reporting, and AI initiatives.
- Collaborate with senior analytics engineers, data engineers, and business stakeholders to translate business requirements into scalable data solutions.
- Implement and optimize ETL processes using Python, SQL, and Apache Spark on AWS infrastructure.
- Ensure data quality, governance, and security across all analytics assets.
- Document data models, pipeline logic, and best practices for cross‑team consumption.
Requirements
- 5+ years of experience in analytics engineering or related data engineering roles.
- Experience with data modeling, ETL design, and BI tools such as Tableau or Power BI.
- Excellent communication skills and ability to work collaboratively in a hybrid environment.
Skills
pythonsqlapache sparkaws