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Lead Software Engineer

JPMorganChase

Salary not specified
Oct 25, 2025
Jersey City, NJ, US
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JPMorgan Chase is looking to enhance, build, and deliver reliable, market-leading data technology products with a focus on security, stability, and scalability within the Commercial & Investment Bank - Digital & Platform Services

Requirements

  • Formal training or certification on Data Engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering data systems design, application development, testing, and operational stability
  • Advanced in one or more big data programming language(s) - Spark, PySpark, and Kafka
  • Experience in engineering data products using Databricks and/or snowflake technologies
  • Proficient in data pipeline and workflow management tools (e.g., Apache Airflow, Flink)
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Practical cloud native experience with cloud platforms such as AWS, Azure, or Google Cloud Platform

Responsibilities

  • Executes creative software & data solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Designs and implements scalable data architectures, data modeling, ETL processes, and data warehousing solutions
  • Understands data governance, data quality, and data security principles
  • Develops secure high-quality production code, and reviews and debugs code written by other engineers
  • Leads communities of practice across Data Engineering to drive patterns, awareness and use of new and leading-edge technologies
  • Integrates large language models (LLMs) into data processing workflows
  • Develops solutions with natural language processing (NLP) techniques and tools

Other

  • Strong collaboration skills to work effectively with cross-functional teams and stakeholders
  • Ability to lead, influence and mentor team of data engineers on adopting right technical solutions
  • Formal training or certification on Data Engineering concepts
  • 5+ years applied experience
  • Competitive total rewards package including base salary determined based on the role, experience, skill set and location