Staff Software Engineer, Data

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September 22

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Stripe

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Fintech • eCommerce • B2B

Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.

1001 - 5000 employees

Founded 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round on 2021-05

📋 Description

• 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.

🎯 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. • 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, and understanding ML frameworks (TensorFlow, PyTorch, Scikit-learn). • Knowledge of integrating machine learning models into data pipelines and applications for enhanced business insights and predictions.