Backend Python & Databricks Engineer (Finance Data)

JPMorgan Chase & Co.; Plano (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX, is seeking a Software Engineer III to design, build, and maintain scalable backend data engineering solutions powering financial reporting and analytics across the firm.

You will collaborate with cross-functional teams to deliver reliable data pipelines and platform modules that support data-driven decisions at enterprise scale. This onsite role emphasizes Python backend development, PySpark data processing, and Databricks module work, with strong collaboration

Qualifications

• Formal training or certification in software engineering with 3+ years of applied experience.
• Experience in system design, development, testing, and operational stability.
• Proficiency in Python backend development and PySpark data pipelines.
• Experience with Databricks: module development, deployment, and support.
• Experience using AI-assisted development tools with evaluation of outputs for correctness and security.
• Understanding of responsible AI use and secure data handling.

Responsibilities

• Execute software solutions and troubleshoot complex problems beyond routine approaches.
• Develop secure production code and Python-based data processing.
• Build, deploy, and support scalable data modules on Databricks.
• Leverage enterprise AI coding tools to improve quality, speed, and productivity.
• Produce architecture and design artifacts for complex applications and systems.
• Collaborate with product managers, architects, and cross-functional teams to translate finance needs into scalable technical solutions.

Skills

Python

PySpark

Databricks

AI tooling

CI/CD

Security

Agile

Spark

Kafka

AWS

Airflow

SQL

Tools

Databricks

Job description

JPMorgan Chase & Co. in Plano, TX, is seeking a Software Engineer III to design, build, and maintain scalable backend data engineering solutions powering financial reporting and analytics across the firm.

You will collaborate with cross-functional teams to deliver reliable data pipelines and platform modules that support data-driven decisions at enterprise scale. This onsite role emphasizes Python backend development, PySpark data processing, and Databricks module work, with strong collaboration