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Software Engineer III - Python & Databricks

20 days ago 2026/09/10
Other Business Support Services
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Job description

We have an exciting and rewarding opportunity for you to advance your software engineering career and make a meaningful impact.


Job Summary


As a Software Engineer III at JPMorgan Chase within Corporate Technology, you join a collaborative team to develop and enhance critical software applications. You will help drive technology improvements that support our business objectives and foster a culture of inclusion, respect, and growth.


Job Responsibilities


  • Develop workflows and ELT pipelines using PySpark and Databricks.
  • Build and maintain ML execution pipelines using Python on Databricks and Streamlit.
  • Build and maintain real-time model execution processes using Java and Moneta Boot.
  • Execute software solutions, including design, development, and technical troubleshooting, to build innovative applications.
  • Create secure, high-quality production code and maintain efficient algorithms.
  • Produce architecture and design artifacts for complex applications, ensuring design constraints are met.
  • Gather, analyze, and synthesize data to develop visualizations and reporting for continuous improvement.
  • Identify hidden problems and patterns in data to drive enhancements in coding hygiene and system architecture.
  • Contribute to software engineering communities of practice and events focused on emerging technologies.

Required Qualifications, Capabilities, and Skills


  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Good working knowledge of AWS, Databricks, PySpark, Python, Java, and Moneta Boot.


  • Hands-on experience in system design, application development, testing, and operational stability.


  • Skilled in coding in one or more programming languages, such as Python or Java.


  • Experience developing, debugging, and maintaining code in large environments using modern programming and database querying languages.


  • Knowledge of the Software Development Life Cycle.


  • Understanding of agile methodologies, including CI/CD, application resiliency, and security.


  • Demonstrated knowledge of software applications and technical processes within disciplines such as cloud computing, artificial intelligence, machine learning, or mobile development.


Preferred Qualifications, Capabilities, and Skills


  • Experience with Databricks or AWS S3
  • Exposure to cloud technologies or distributed computing

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