Senior Python & Databricks Data Engineer

JPMorgan Chase

Plano (TX)

On-site

USD 120,000 - 170,000

Full time

4 days ago
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Job summary

JPMorgan Chase in Plano, TX is seeking a Software Engineer III to design, build, and maintain scalable backend data pipelines powering critical financial reporting and analytics. You will work with cross-functional teams to deliver high-quality data solutions at enterprise scale.

The role focuses on Python backend development, PySpark data processing, and Databricks module development, with emphasis on secure coding and CI/CD practices in a large corporate environment.

Qualifications

  • Formal training or certification on software engineering concepts.
  • 3+ years of applied experience in software development and operations.

Responsibilities

  • Execute software solutions with scalable design and debugging.
  • Develop and maintain Python backends and PySpark data processing in production.
  • Build and support data engineering modules on Databricks with reliable performance.
  • Adopt enterprise AI coding assistants, ensuring quality and secure outputs.
  • Contribute to SDLC tooling and automation to improve team velocity.
  • Create architecture and design artifacts for complex applications.
  • Gather, analyze, and visualize large financial data sets for reporting and insights.
  • Participate in code reviews to improve quality and standards.

Skills

Python
PySpark
Databricks
CI/CD
Secure coding
AI-assisted tools

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks
Apache Spark
Kafka

Job description

JPMorgan Chase in Plano, TX is seeking a Software Engineer III to design, build, and maintain scalable backend data pipelines powering critical financial reporting and analytics. You will work with cross-functional teams to deliver high-quality data solutions at enterprise scale.

The role focuses on Python backend development, PySpark data processing, and Databricks module development, with emphasis on secure coding and CI/CD practices in a large corporate environment.

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