Staff Software Engineer - Data

We are building a modern, engineering-first Data Platform that enables product teams to build reliable, scalable, and self-service data solutions.

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.
• Optimize application performance, scalability, and reliability.
• Write clean, maintainable, well-tested production code.
• Troubleshoot production issues and drive them to resolution.
• Collaborate with engineers across teams to deliver high-quality platform capabilities.

Required Skills:

• 2-4 years of professional software engineering experience.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark (PySpark).
• Experience building applications on AWS/Databricks.
• Strong understanding of software engineering fundamentals including:
• Object-Oriented Programming (OOP)
• Design Patterns
• SOLID Principles
• Data Structures & Algorithms
• Clean Code Practices
• Unit Testing
• Experience working with NoSQL/Relational Databases.
• Experience with Git and CI/CD pipelines.
• Strong analytical, debugging, and problem-solving skills.
• Good understanding of scalable and reliable software development practices.

Nice to Have:

• Experience building Data Platform or internal platform capabilities.
• Experience with Delta Lake and Lakehouse architecture.
• Exposure to Generative AI applications.
• Experience building RAG (Retrieval-Augmented Generation) solutions.
• Experience with Agentic AI workflows.
• Exposure to Docker or Kubernetes.

What We Value:

We're looking for engineers who:

• Think beyond individual tasks and build reusable solutions.
• Take ownership of the features and services they build.
• Enjoy solving complex engineering problems.
• Write clean, maintainable, production-quality code.
• Value automation over manual effort.
• Continuously learn and improve engineering practices.