Working remotely, the full-time salaried Data Software Engineer will develop and optimize data pipelines for over 7 million securities, ensuring financial data accuracy and performance while utilizing Python and the Django framework. Key Responsibilities Write and test code in Python and Django to implement complex backend features Build and enhance financial data pipelines using tools like Airflow and optimize database queries for performance Design scalable data models and manage database load while collaborating with cross-functional teams Required Qualifications 2+ years of relevant industry or academic experience Proficiency in Python, with experience in the Django framework preferred Experience with relational databases, including query optimization and indexing Background in working with large datasets and performance challenges Ability to collaborate with non-technical teams and communicate technical concepts effectively