Software Engineer, Data Systems (Python)

Strong understanding of data processing needs for real-time and batch systems. Extensive experience with SQL and Python. Experience designing and deploying high-performance systems with reliable monitoring and logging. Deep knowledge of data pipeline orchestration tools and best practices (e.g., Airflow, dbt). 2+ years of experience building and maintaining large-scale software systems.

Scope, build, and iterate high-value solutions with customers and internal teams. Design, build, and optimize data ingestion and transformation pathways. Maintain and enhance data/infrastructure engineering end-to-end for performance, scalability, and reliability. Optimize data pipeline architecture for readability, maintainability, and cost. Integrate with machine learning and data science systems. Maintain and enhance infrastructure to scale the platform. Participate in engineering on-call rotations and problem-solve production issues. Write technical documentation.