Staff Software Engineer

Summary

Join Stripe's Company Universe team as a Staff Software Engineer and play a crucial role in designing and developing robust data pipelines and applications. You will collaborate with cross-functional teams to ensure accurate data, enabling informed business decisions and improving customer experiences. Lead the design, development, and maintenance of data pipelines, models, and applications supporting Growth, Sales, and Marketing. Develop subject matter expertise in managed systems, setting and managing SLAs. Build and enhance data foundations, including infrastructure, pipelines, and tools facilitating collaboration. Design and implement data movement frameworks for seamless integration between internal and third-party data sources. Mentor junior engineers and utilize strong analytical and problem-solving skills to address complex issues.

Requirements

• 10+ years of hands-on software development experience, with a strong focus on building and maintaining data-intensive applications
• Proven experience leading technical initiatives and influencing cross-functional teams, ensuring successful project delivery aligned with business goals
• Strong background in writing and debugging data pipelines using distributed frameworks such as Spark, Hadoop, or similar technologies
• Proficient in at least one backend development language (e.g., Scala, Java, or Go) along with solid SQL expertise
• Exceptional analytical skills, with an in-depth understanding of data quality issues and the ability to dive into complex datasets to resolve inconsistencies
• Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams

Responsibilities

• Lead the design, development, and maintenance of data pipelines, models, and applications that support the Growth, Sales, and Marketing functions at Stripe, ensuring they meet critical business objectives
• Develop strong subject matter expertise in the systems you manage, setting and managing SLAs for both data pipeline and datasets
• Build and enhance the data foundations, including infrastructure, pipelines, and tools that facilitate collaboration between Growth, Sales, and Marketing teams, utilizing technologies such as Spark, Scala, and Airflow
• Design and implement data movement frameworks and systems that facilitate seamless integration between internal systems and third-party data sources, ensuring efficient data flow and accessibility across platforms while maintaining data integrity and security
• Mentor and guide junior engineers, fostering a culture of innovation and adherence to best practices in software development, data quality, and project delivery
• Utilize strong analytical and problem-solving skills to address complex issues, effectively communicating findings and recommendations to cross-functional stakeholders

Preferred Qualifications

• Familiarity with Growth or GTM roles, understanding the data needs specific to Sales and Marketing functions
• Experience working with large-scale data systems such as Presto/Trino, MongoDB and Apache Pinot
• Experience with building, deploying, and optimizing machine learning models, along with an understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Knowledge of the integration of machine learning models into data pipelines and applications for enhanced business insights and predictions