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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Data Engineering Solutions - **Company:** Stripe, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $224,000.0 - $336,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Infrastructure, Data Mart, Data Warehousing, Distributed Data Store, Apache Hive, Standard Sql, Large Language Models, Apache Spark, Change Data Capture, Backend, Stripe, Apache Flink, Apache Kafka, Free and Open-Source Software, Data Inconsistencies, Data Pipelines - **Published:** June 18, 2026 - **Apply:** https://stripe.com/jobs/listing/staff-software-engineer-data-engineering-solutions/8013220 ## About the Role * This is a Staff-level role - that typically means 10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver exceptional solutions * A strong engineering background and passion for data as well as prior experience with writing and debugging data pipelines using a distributed data framework * 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 * Extreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use cases * Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs * Thrive with high autonomy and responsibility in an ambiguous environment * Ability to foster and work in a healthy, inclusive, challenging, and supportive work environment, * Our stack is made up of Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot, Trino, AWS Cloud - experience with all or some of these tools is a huge plus * Influencing open-source contributions is a huge plus * Experience creating and maintaining data marts / warehouses to power business reporting needs * Experience collaborating with Product, Go-To-Market, or Sales / Marketing teams * Genuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisions * Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide In-office expectations ## Description We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI-driven Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data / backend code / and innovative AI tools/platforms/services for data., We're looking for a person who could drive the Data Engineering Solutions team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities., * Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success * Partner with our recruiting team to attract and hire top talent * Deliver cutting-edge data pipelines that scale to users' needs, focusing on reliability and efficiency * Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders * Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data * Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems * Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion * Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team, Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. ## Related Videos - [Navigating Growth, Scaling Challenges, and Office Expansions with David Singleton, CTO at Stripe](https://www.wearedevelopers.com/videos/100362-navigating-growth-scaling-challenges-and-office-expansions-with-david-singleton-cto-at-stripe) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Throwing off the burdens of scale in engineering](https://www.wearedevelopers.com/videos/608-throwing-off-the-burdens-of-scale-in-engineering) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Fullstack developer salary in Germany [2023]](https://www.wearedevelopers.com/magazine/197-fullstack-developer-salary-in-germany-2023) - [How Much Does a Software Engineer Make? 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