Senior Analytics Engineer — Data Pipelines Lead

New York Life Insurance Co; New York (NY); Hybrid; USD 124,000 - 177,000; Full time

Job summary

New York Life Insurance Co in New York, NY is seeking a Senior Associate - Analytics Engineer to design and implement scalable analytics pipelines and data products. You will lead end-to-end work from source alignment to deployment, collaborating with senior engineers on complex architectural decisions.

You are technically strong, self-directed, and translate business requirements into well-structured engineering work.

Qualifications

• 4+ years data engineering with analytics focus.
• Strong SQL and Python for data engineering tasks.
• Hands-on dbt experience and cloud platforms knowledge.

Responsibilities

• Lead design and implementation of scalable dbt pipelines across Databricks/BigQuery.
• Build well-tested data products and dimensional models.
• Develop data transformation solutions with SQL and Python.
• Optimize pipelines for performance and cost efficiency at scale.
• Own data products end-to-end from source to deployment and monitoring.

Skills

4+ years data engineering

SQL

Python

dbt

Databricks

BigQuery

ELT

Git

Agile/Scrum

Data modeling

Tools

Databricks

BigQuery

Git

dbt

Job description

New York Life Insurance Co in New York, NY is seeking a Senior Associate - Analytics Engineer to design and implement scalable analytics pipelines and data products. You will lead end-to-end work from source alignment to deployment, collaborating with senior engineers on complex architectural decisions.

You are technically strong, self-directed, and translate business requirements into well-structured engineering work.