Staff Software Engineer
Core Data
Posted on 2/7/2024
Stripe

5,001-10,000 employees

Financial infrastructure platform for business payments
Company Overview
Stripe stands out as a leading financial infrastructure platform, providing robust payment solutions that empower businesses of all sizes, from startups to large enterprises, to grow and adapt swiftly. The company's culture encourages technical innovation, offering low-to-no-code solutions and API-based integrations that are easy to implement yet scalable, making it a competitive choice in the industry. With a mission to increase the internet's GDP, Stripe's influence extends globally, with headquarters in both San Francisco and Dublin.
Financial Services
Data & Analytics

Company Stage

Series I

Total Funding

$8.6B

Founded

2010

Headquarters

South San Francisco, California

Growth & Insights
Headcount

6 month growth

5%

1 year growth

7%

2 year growth

29%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Airflow
Data Structures & Algorithms
Apache Spark
Java
Scala
Hadoop
CategoriesNew
Software Engineering
Requirements
  • 5+ years of experience working on a large scale data warehouse and/or experimentation, personalisation, or targeting platforms
  • Strong written and verbal communication skills
  • Experience planning and driving large projects involving multiple stakeholders across an organization
  • Strong coding skills in Scala, Python, Java, or another language for building highly performant services
  • A mature understanding of the software development life cycle
Responsibilities
  • Work closely with various cross-functional teams to develop and deliver tools or data structures to measure, optimize and scale product offerings
  • Perform all of the necessary data transformations to serve products that empower data-driven decision making
  • Engage with internal data platform and tooling teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms
  • Arbitrate critical decisions correctly considering data best practices, system realities, and numerous stakeholder’s feedback
  • Scope, design and implement solutions that make the appropriate tradeoffs between resiliency, durability, and performance while maintaining a high level of data quality
  • Mentor and develop other technical leaders; creating opportunities for those around you
  • Contribute to engineering innovations that fuel Stripe’s vision and mission
Desired Qualifications
  • Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance
  • Strong understanding and practical experience with systems such as Hadoop, Spark, Presto, Iceberg, and Airflow
  • Strong understanding in data platform fundamentals including: clustering, distributed systems, fault tolerance, networking, etc
  • Experience in either the front-end or back-end development of data-powered applications