Backend Engineer, Data

The shape of it

In the posting’s own words

The Data Foundations team drives Data Engineering and Data Apps and Tooling work across Stripe, enabling Stripes to leverage data to make informed decisions and build user-centric products. We provide tools and infrastructure to move, store, process, and analyze data, both at rest and in motion. We are looking for talented data-minded software engineers to help us manage business-critical data leveraged across the entire organization. If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you.

What it asks for · 6

• Must have 6+ 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 an interest 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

Also a plus

• Experience creating and maintaining data marts to power business reporting needs • Experience working with Product or GTM (Sales and Marketing) teams

What the job covers

• Design, develop, and own data pipelines, models, and products that power the Product, Data Science, and GTM functions
• Develop strong subject matter expertise and manage the service level agreements for both data pipelines and full stack web applications that support these critical stakeholders
• Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable various teams at Stripe - working with Scala, Spark, and Airflow
• Leverage LLMs and Agents at scale to produce high-quality data on ambiguous problems
• Refine our existing data marts that help the GTM organization forecast the future potential performance of the business and reliably measure ongoing attainment toward targets
• Build data services that track key product metrics and measure the impact of different 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.

Tools and skills named

Words the posting leans on

• data28×
• experience8×
• product6×
• requirements5×
• data pipelines4×
• engineering4×
• gtm4×
• build3×
• business3×
• data foundations3×
• matching3×
• organization3×
• spark3×
• applications2×
• background2×
• data marts2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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