onsite
Senior Associate - Senior Associate, Analytics Engineer - New York Life
Data Engineer
Senior Analytics Engineer designing, building, and maintaining scalable data pipelines and analytics solutions using Python, SQL, dbt, Snowflake, and Airflow to deliver trusted data products for BI and AI-driven decision making.
About the role
Key Responsibilities
- Design and implement end‑to‑end data pipelines that ingest, transform, and load enterprise data into Snowflake using dbt and Airflow.
- Develop and maintain reusable data models, views, and marts that enable self‑service analytics and advanced AI use cases.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust, production‑grade data solutions.
- Ensure data quality, reliability, and performance through testing, monitoring, and automated validation frameworks.
- Document data architecture, lineage, and best practices to promote a culture of data literacy across the organization.
Requirements
- 5+ years of experience in analytics engineering or data engineering roles, with strong proficiency in Python and SQL.
- Hands‑on expertise with dbt for transformation, Snowflake (or comparable cloud data warehouse), and Apache Airflow for orchestration.
- Solid understanding of data modeling concepts, dimensional design, and data governance principles.
- Experience building scalable, production‑grade data pipelines that support BI tools and machine‑learning workflows.
- Excellent problem‑solving skills and ability to work collaboratively in a hybrid team environment.
Skills
pythonsqldbtsnowflake