JC
JPMorgan Chase
Data Engineer

Data Engineer III - Senior Associate

On-siteSeniorData Engineerposted 1w ago
✦Role summaryAI-generated

This role focuses on designing and maintaining scalable data pipelines and full‑stack applications using Java or Python on AWS and Databricks. Candidates should have strong experience with Spark, SQL, ETL, and emerging Agentic AI workflows.

Skills required

About this role

We are seeking a Backend Data Engineer with strong API development experience in Java or Python, with full-stack capabilities as a plus. The ideal candidate brings hands-on expertise in cloud platforms (AWS preferred), Databricks, and Spark, with a solid foundation in data engineering and analytics. A strong data background with the ability to think analytically, design scalable data pipelines, and work with large datasets is essential. Experience or keen interest in Agentic AI and modern AI-assisted development workflows .skills - spark , sql , databricks , agentic ai , python or java ,ETL

Job 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.

Required 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.
  • Demonstrated analytical and problem-solving skills.
  • Experience with cloud-native architectures and scalable application design.
  • Exposure to or interest in Agentic AI, Generative AI, or AI-assisted development practices.

✕ position closed

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