This role pays more than
68%
of similar roles. Most pay
$168,500–$270,000
— the shaded band above.
At the midpoint, this role pays about
$254k
versus about
$219k
for comparable roles.
Based on 240 similar postings.
Employer
About Stripe
Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology
Stripe currently has
173 open roles
on FindRole.
Listed pay typically runs
$190,400–$285,600
across 171 roles with salary data.
As an Engineering Manager, Data Transformation, you will lead a team of engineers responsible for building and operating batch and real-time transformation pipelines and platforms. You will manage the full development lifecycle, provide technical leadership on architecture and design, and collaborate with infrastructure and product engineering teams to advance the strategic roadmap for streaming transformation, incremental processing, and ergonomic data modeling. The role involves delivering high-quality, materialized datasets for products and AI agents while ensuring reliability and efficiency. You will work with a suite of technologies including Spark, Airflow, Iceberg, Hive, S3, SQL, Python, Scala, GRPC, Kafka, and FlinkSQL. This position addresses the critical challenge of providing robust transformation platforms and high-quality datasets for analytics, dashboards, and workflows used by hundreds of internal product teams to improve developer productivity.
What does a Engineering Manager earn in Washington?
Median $267050 from 35 postings across 10 companies.
Python
TypeScript
JavaScript
System Design
Data Engineering
ETL
Distributed Systems
Machine Learning
AI Application Engineering
Data Pipelines
Human-in-the-loop
Multi-modal Models
Analytics
Dashboards
Data Engineering
Spark
Flink
Kafka
Apache Iceberg
Snowflake
Machine Learning
AI
Data Pipelines
Data Architecture
Data Quality
Scalability
Software Engineering Best Practices