Staff Data Engineer

About the role

Staff Data Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend a significant portion of their time coding, working hands-on with code, data, and modern tools—including AI-assisted development, cloud services, and automation frameworks—to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector.

What you'll do

• Independently understand data ecosystems, security, privacy, and retention requirements to support business and product features
• Act as a key participant in meetings with stakeholders to identify and clarify requirements and determine business needs
• Translate functional requirements into architecture designs for one or more components, leveraging existing architecture design patterns
• Implement extensible, maintainable, and reusable code using appropriate coding patterns, guidelines, and best practices
• Provide end-to-end ownership of data products or data pipelines, including mitigation of technical debt and documentation of errors or unexpected bugs

What you need

• 8–14 yrs of experience
• SQL
• Python
• Machine learning
• ETL
• Hadoop
• Spark
• MBA or PhD

Good to have

• Hive
• Java
• Git
• CI/CD
• LLMs
• Unit testing