Python Data Engineer

Our client is building an operations management platform that handles workforce planning, rostering, dispatching, and performance analytics for a large-scale field operations environment. You will own the Python engine layer, responsible for the algorithms and data processing that power the core operational workflows used daily by operations teams.

Requirements

• 5 or more years of Python backend or data engineering experience
• Experience with constraint solving, optimization, or scheduling algorithms (OR-Tools, PuLP, or equivalent)
• Strong data processing experience with large datasets (Polars, pandas, or Apache Spark)
• Experience with task queues and async processing (Celery, RQ, or equivalent)
• Familiarity with Azure
• Comfortable working with SQL databases and writing performant queries
• Experience consuming REST APIs and message queues