Staff Software Engineer- Data

About the role

This role is ideal for engineers who enjoy solving platform engineering problems—not just building data pipelines. You'll build reusable platform capabilities, automate engineering workflows, and develop scalable systems that power multiple teams across the organization. If you enjoy building production-grade software, working with cloud-native technologies, and solving challenging engineering problems, we'd love to hear from you.

What you'll do

• Build reusable platform components and frameworks using Python and Apache Spark
• Develop and maintain production-grade data processing applications on Databricks
• Develop standardized platform capabilities for data ingestion, processing, observability, and governance
• Build APIs, libraries, and automation that improve engineering productivity
• Work with PostgreSQL, MongoDB, and Delta Lake to build reliable data solutions

What you need

• 2–4 years in software engineering
• Data structures
• Python
• Git
• AWS
• Unit testing
• Spark
• Any graduate

Good to have

• Docker
• Kubernetes
• LLMs
• Databricks
• NoSQL
• CI/CD