Data Engineer III - Python, Databricks - Senior Associate

In this role, you design and deliver secure, scalable data pipelines and architectures within an agile Data Engineering team at JPMorgan Chase. You will build ELT workflows using Python and Databricks, enable analytics across the enterprise, and ensure data protection and governance. You collaborate with cross-functional teams to drive data-driven decisions and business outcomes, contributing to a culture of excellence and continuous improvement. This opportunity lets you shape data solutions at scale for a global financial services leader.

• Develop workflows and ELT pipelines using Python and Databricks
• Support review of controls to ensure sufficient protection of enterprise data
• Implement data security using entitlements frameworks
• Update logical or physical data models based on new use cases
• Use SQL frequently and understand NoSQL databases

• Formal training or certification on software engineering concepts and 3 years applied experience
• Good working knowledge of AWS, Databricks, and Python
• Experience across the data lifecycle
• Advanced SQL, including joins and aggregations
• Working understanding of NoSQL databases
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis
• Utilize AWS Cloud Services for developing, deploying, and managing applications at scale
• Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing

• collaboration
• problem-solving
• analytical thinking
• Python
• Databricks
• AWS