What you’ll do

Every record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in software engineering and data to help us scale while maintaining correct and complete data. You’ll be working with a variety of internal teams across Growth, Sales, Marketing, and Data Science to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s Growth and GTM organizations are performing and how we can deliver a better experience to Stripe's customers.

Responsibilities

• Design, develop, and own data pipelines, models, and products that power Stripe’s Growth, Sales, and Marketing teams

• Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support the Growth & Go-to-Market organizations at Stripe

• Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow

• Design and build client libraries and frameworks to log events and accurately track the behavior of users interacting with our logged-out user interfaces such as Stripe.com

• Refine our existing data marts that help the Sales and Marketing organization at Stripe forecast the future potential performance of the business, and reliably measure their ongoing attainment toward targets

• Build data services that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field

• Our tech stack is Spark, Scala, Java, SQL, and Python - and while we don’t expect everyone on the team to be an expert in all of these, you will work across all of these technologies throughout your tenure on the team

Who you are

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.

Minimum requirements

• 3+ years of experience in a Software Engineering role, with a focus on building and maintaining data services, or data intensive applications.

• A strong engineering background and are interested in data

• Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc)

• An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues

• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience

• The ability to communicate cross-functionally, derive requirements and architect shared datasets

Preferred requirements

• Experience creating and maintaining Data Marts to power business reporting needs

• Experience working with Growth or GTM (Sales/Marketing) teams