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Lead Software Engineer-Cloud Data/Python/Java/Spark

JPMorganChase

Salary not specified
Sep 27, 2025
Wilmington, DE, US
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JPMorgan Chase is looking to enhance, build, and deliver reliable, market-leading technology products that are secure, stable, and scalable within the Consumer and Community Banking's Home Lending and Servicing team

Requirements

  • Hands-on professional experience in one or more programming language(s), including Java or Python, proficiency in Python, SQL, and at least one additional language (e.g. Java or Scala) for data engineering tasks
  • Hands-on experience utilizing Apache Spark for large-scale data processing, including developing and optimizing data pipelines, performing real-time and batch analytics, and leveraging Spark’s libraries for machine learning and data transformation to drive actionable business insights
  • Experience with infrastructure automation tools such as AWS CloudFormation or Terraform
  • Proficiency in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Experience with AWS services related to data storage and management, such as AWS Aurora, DynamoDB, S3, and RDS
  • AWS Certifications

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
  • 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
  • Architect, develop, and deploy scalable data pipelines and solutions on AWS using services such as S3, Redshift, Glue, EMR, Lambda, and Athena
  • Create and optimize data models, build robust ETL processes, and ensure efficient ingestation, transformation, and storage
  • Monitor, troubleshoot, and tune data pipelines and cloud resources for optimal performance, reliability, and cost efficiency
  • Maintain comprehensive documentation of data architectures, processes and best practices; mentor junior engineers and share knowledge within the team

Other

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Stay current with AWS advancements, evaluate new services and tools, and drive continuous improvement in cloud data engineering practices
  • We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success
  • We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location