Data Engineer II

Join a diverse and creative team at J.P. Morgan to make a lasting impact as a Data Engineer II within the Commercial & Investment Bank. You will design, develop, and troubleshoot scalable data solutions for collection, storage, access, and analytics.

• Maintain and organize actionable gathered data while ensuring secure access controls across system components.
• Leverage enterprise-authorized AI capabilities to accelerate analysis support and documentation (e.g., clarifying requirements), validating outputs according to sensitivity standards.
• Apply reuse-first, AI-assisted approaches to enhance data quality checks and model validation routines for resiliency and security.
• Create custom configurations in one or two tools to generate products based on business requests.
• Update logical/physical data models for new use cases with minimal supervision.

Required Skills:

• Data Engineering concepts certification plus 2+ years experience building Data frameworks and working with Data lakes (Batch & Real-time Spark/Flink).
• Proficiency in relational/NoSQL databases, ETL pipelines, warehousing, and Databricks using Python/Java/PySpark.
• AWS expertise: Glue, EMR for processing, deploying services via Spring Boot/Flask on AWS EKS or Kubernetes.
• Ability to review AI-assisted outputs (queries/model summaries) before use with strict adherence to data handling requirements.

Preferred Skills:

• Big Data technologies: Hadoop, Spark, Kafka.
• Distributed system design and development expertise.
• Deep knowledge of containerization (Docker/Kubernetes) for cloud-native solutions.