Software Engineer, Data Orchestration

The shape of it

In the posting’s own words

The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc.

What it asks for · 7

• 8+ years of professional experience writing high-quality, production-level code or software programs and an interest in data infrastructure.
• Has experience operating or enabling large-scale, high-availability data pipelines from design to execution and safe change management. Expertise in Spark, Flink, Airflow, Python, Java, SQL, and API design is a plus.
• Has experience developing, maintaining, and debugging distributed systems built with open source tools.
• Has experience building infrastructure-as-a-product with a strong focus on user needs.
• Has strong collaboration and communication skills, and can interact with both technical and non-technical participants.
• Has the curiosity to learn about new technologies and business processes.
• Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration.

Also a plus

• Has experience writing production-level code in Scala, Spark, Flink, Airflow, Python, Java, and SQL.
• Has experience designing APIs or building developer platforms.
• Has experience optimizing the end-to-end performance of distributed systems.
• Has experience scaling distributed systems in a fast-moving environment.
• Has experience working with Airflow infrastructure.
• Genuine enjoyment of innovation and an interest in understanding how things work.

What the job covers

• Design, build, and maintain next-generation and first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency.
• Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users.
• Ensure operational excellence and enable a highly available and reliable Data Orchestration platform across batch workloads.
• Collaborate with high-visibility teams and their stakeholders to support their key initiatives—while building a robust platform that benefits all of Stripe in the long term.
• Plan for the growth of Stripe infrastructure by unblocking, supporting, and communicating with internal partners to achieve results.
• Connect your work with improvements in the usability and reliability of open source software (OSS) like Apache Airflow, Iceberg, and Spark, and contribute back to the OSS community.

Tools and skills named

Words the posting leans on

• data12×
• experience11×
• infrastructure7×
• airflow5×
• design5×
• build4×
• platform4×
• requirements4×
• spark4×
• users4×
• batch data3×
• building3×
• collaboration3×
• data processing3×
• distributed systems3×
• operates3×

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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