Senior Data Engineer - Cloud, Spark, Databricks & AI Pipelines

JP Morgan Chase; Plano (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

JP Morgan Chase is seeking a Backend Data Engineer with strong API development experience in Java or Python. The role emphasizes cloud platforms (AWS), Databricks, Spark, and a solid data engineering foundation.

You will design scalable data pipelines, work with large datasets, and collaborate across teams to deliver data-driven solutions, including exploration of AI-assisted development and Agentic AI tools.

Qualifications

• Experience in full stack software development using Java or Python.
• Hands-on experience with AWS, Databricks, and Apache Spark.
• Strong background in data engineering, analytics, and large-scale data processing.
• Exposure to Agentic AI, Generative AI, or AI-assisted development practices.

Responsibilities

• Design, develop, and maintain scalable full stack applications using Java or Python.
• Build and optimize data pipelines and analytics solutions leveraging Databricks, Spark, and AWS technologies.
• Analyze large datasets and develop scalable, cloud-based solutions to support business needs.
• Collaborate with cross-functional teams to deliver innovative technology solutions.
• Explore and apply emerging technologies, including Agentic AI and AI-assisted development tools.

Skills

Spark

SQL

Databricks

Agentic AI

Python/Java

ETL

Tools

AWS

Apache Spark

Job description

JP Morgan Chase is seeking a Backend Data Engineer with strong API development experience in Java or Python. The role emphasizes cloud platforms (AWS), Databricks, Spark, and a solid data engineering foundation.

You will design scalable data pipelines, work with large datasets, and collaborate across teams to deliver data-driven solutions, including exploration of AI-assisted development and Agentic AI tools.