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Lead Software Engineer - Data Engineering - Databricks

JP Morgan Chase

Salary not specified
Sep 23, 2025
Atlanta, GA, USA
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JPMorgan Chase is looking to enhance, build, and deliver trusted, market-leading technology products that are secure, stable, and scalable within the Employee Digital and Service Experience group

Requirements

  • experience with data engineering, specifically with Databricks and AWS Glue
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • Proficiency in Terraform
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

  • Executes creative data software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Delivering system design, application development, testing, and operational stability

Other

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Awareness of emerging data engineering technologies and trends