Senior Data Engineer for Financial Analytics and Pipelines

EngineersOfAI; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Stripe is seeking a highly skilled Data Engineer to design and build scalable data infrastructure that powers analytics and reporting across the company. You will translate complex business requirements into reliable data models and end-to-end pipelines, delivering actionable insights through rigorous analysis and data storytelling.

You will partner with Treasury Finance, data scientists/analysts, and engineers to define data requirements and deliver trusted, reusable financial data products,

Qualifications

• 6+ years in data engineering or analytics engineering.
• Strong SQL skills with data modeling and query optimization.
• Python for building data pipelines (not just scripting).
• Experience with distributed frameworks (Spark) and orchestration (Airflow).

Responsibilities

• Design, build, and own scalable data infrastructure powering analytics and reporting.
• Translate business requirements into reliable data models and end-to-end pipelines.
• Deliver actionable insights through rigorous analysis and data storytelling.
• Architect a self-service analytics layer for trusted data access.

Skills

SQL

Python

Data modeling

Complex query optimization

Tools

Spark

Airflow

Job description

Stripe is seeking a highly skilled Data Engineer to design and build scalable data infrastructure that powers analytics and reporting across the company. You will translate complex business requirements into reliable data models and end-to-end pipelines, delivering actionable insights through rigorous analysis and data storytelling.

You will partner with Treasury Finance, data scientists/analysts, and engineers to define data requirements and deliver trusted, reusable financial data products,