Python / Data Engineer

What You'll Do

• Build and maintain Python-based applications, APIs, and data services.
• Develop scalable data ingestion and processing solutions using PySpark and Databricks.
• Create reusable frameworks, CI/CD processes, monitoring, and testing capabilities.
• Collaborate with global teams to build a shared platform that aggregates customer usage data into a centralized data lake.
• Contribute to architecture decisions, engineering standards, and platform growth.

Required Qualifications

• Strong Python software engineering background (Python Developer first, Data Engineer second)
• Experience with:
• Python
• Django and/or Flask
• PySpark
• Databricks
• REST APIs
• Object-Oriented Design
• Git
• Data Engineering experience including:
• Data pipelines and data lakes
• Spark optimization and performance tuning
• Data modeling and distributed systems

Preferred:

• AWS (S3, Glue, Lambda)
• CI/CD and DevOps practices

What We're Looking For

Someone who writes clean, maintainable code, enjoys solving complex engineering problems, and wants a voice in architecture and technical direction. If your background is primarily notebook development without significant software engineering experience, this likely won't be the right fit.