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JPMorgan Lead Software Engineer - Data Engineering PySpark / JavaSpark 
United States, Delaware, Wilmington 
334019151

11.06.2025

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Transform data into digestible sets for homelending data engineering team
  • 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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience in data engineering
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced knowledge in PySpark or JavaSpark
  • Advanced knowledge in Data Engineering and Data Lakes
  • Advanced knowledge in AWS Cloud
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services or mortgage industry and their IT systems
  • Practical cloud native experience
Preferred qualifications, capabilities, and skills
  • Any artificial interlligence or machine learning knowledge