Work with our customers, product managers, product engineers, and customer support, to scope, build, and iterate high value solutions.
Provide technical leadership to various software engineers and drive the long term technical strategy with scalable architecture and best practices.
Build and maintain data ingestion pathways spanning APIs, file processing, and configurable inputs.
Own and Implement the data/infrastructure engineering aspects end-to-end from idea to solution as part of a cross functional effort with your peers.
Work on the data pipeline architecture and optimize it for readability, maintainability, as well as cost.
Integrate with our machine learning and data science systems to deliver insights to our customers.
Maintain and augment the necessary infrastructure to scale our platform.
Write technical documentation for internal and external stakeholders.

Solid understanding of data processing needs of real-time and batch systems for transactional and analytical processing
Experience with SQL / Java / Scala / Spark / Python
Experience designing and deploying high performance systems with reliable monitoring and logging practices
Experience with data pipeline orchestration tools and practices
8+ plus years of experience

Staff Software Engineer, Data Systems – Python

Key skills