Senior Data Engineer: Cloud Pipelines & AI Tools

Aumni; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Backend Data Engineer with strong API development in Java or Python and full-stack capability. The role emphasizes cloud platforms (AWS), Databricks, and Spark, building scalable data pipelines and analytics for large datasets.

You will collaborate with cross-functional teams and explore AI-assisted development workflows, including Agentic AI. Responsibilities include designing and maintaining scalable data pipelines, leveraging Spark and Databricks

Qualifications

• Experience in backend data engineering with API development in Java or Python.
• Hands-on AWS, Databricks, and Apache Spark experience.
• Strong data engineering, analytics, and large-scale data processing skills.

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.

Tools

Java

Python

AWS

Databricks

Apache Spark

SQL

ETL

Agentic AI

Job description

JPMorgan Chase & Co. in Plano, TX is seeking a Backend Data Engineer with strong API development in Java or Python and full-stack capability. The role emphasizes cloud platforms (AWS), Databricks, and Spark, building scalable data pipelines and analytics for large datasets.

You will collaborate with cross-functional teams and explore AI-assisted development workflows, including Agentic AI. Responsibilities include designing and maintaining scalable data pipelines, leveraging Spark and Databricks