Staff Data Engineer — Lead Scalable Data Pipelines

Stripe; Washington; On-site; USD 180,000 - 280,000; Full time

Job summary

Stripe is seeking a Staff‑level data engineer to lead the data engineering team and own the canonical data foundation that powers decision making across Finance, Strategy, GTM, and Marketing. The role focuses on building scalable data pipelines with Airflow, Spark, Kafka, and Flink, working closely with Stripe teams to unlock new capabilities and trustable data assets.

This position emphasizes autonomy, data quality, and leadership, overseeing the full development lifecycle and driving

Qualifications

• 10+ years building and operating data systems
• Strong SQL experience and backend language experience
• Ability to lead teams and drive data initiatives
• Excellent cross‑functional collaboration and communication

Responsibilities

• Lead technical outcomes for a data engineering team
• Deliver scalable data pipelines that meet user needs
• Collaborate with product managers and other Stripe teams
• Oversee SLAs for data pipelines and full stack apps
• Develop canonical datasets and data warehouses with trusted data
• Leverage AI/LLM and agents at scale for data insights
• Drive end‑to‑end data initiatives from planning to delivery
• Foster a collaborative and inclusive team environment

Skills

Data pipelines

SQL proficiency

Leadership

Cross-functional collaboration

Problem solving

Excellent communication

Tools

Airflow

Spark

Kafka

Flink

Hive Metastore

Pinot

Trino

AWS

Job description

Stripe is seeking a Staff‑level data engineer to lead the data engineering team and own the canonical data foundation that powers decision making across Finance, Strategy, GTM, and Marketing. The role focuses on building scalable data pipelines with Airflow, Spark, Kafka, and Flink, working closely with Stripe teams to unlock new capabilities and trustable data assets.

This position emphasizes autonomy, data quality, and leadership, overseeing the full development lifecycle and driving