Data Engineer, People Solutions

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

The Solutions team is on a mission to create an entirely new infrastructure for employee data which scales across all Stripe domains and is the foundation for exciting AI opportunities. Engineers on the People Solutions Engineering team build platforms, data pipelines, and products to enable Stripe's employee experience and insights at scale. The use cases includes build and maintain, analytics and insights, planning & forecasting, business intelligence and the future with AI. 

• Design, build, and maintain scaled services, data pipelines, tooling and systems for internal employee data 
• Build watertight controls and superior security across pipelines to ensure super high accuracy and maximum privacy
• Partner with other teams on creating limited shared data sets to create one source of truth for data across functions 
• Ensure accurate, reliable, and timely data delivered to a single source-of-truth
• Work in a collaborative environment involving different stakeholders and subject matter experts

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. We’re looking for people with a strong background or interest in building successful products or systems; you’re passionate about solving business problems and making direct impact on customers, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems.

• 3 - 10 years professional software development experience, including technical leadership of projects across teams or product areas
• Experience designing and implementing solutions to complex data problems
• Have delivered production data systems
• Experience working with sensitive employee data & the security and governance structures associated with it 
• Attention to high quality code

• Experiences with big-data technologies such as Spark, Presto, Kafka, and Flink, and OLAP preferred