Lead Software Engineer-Cloud Data/Python/Java/Spark jobs in United States
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JPMorganChase · 3 months ago

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

JPMorgan Chase is seeking a Lead Software Engineer-Cloud Data/Python/Java/Spark to join their Consumer and Community Banking's Home Lending and Servicing team. In this role, you will be responsible for designing and developing secure, scalable data pipelines and solutions on AWS, while also mentoring junior engineers and driving continuous improvement in cloud data engineering practices.

Asset ManagementBankingFinancial Services
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Growth Opportunities
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H1B Sponsor Likelynote

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
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
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
Stay current with AWS advancements, evaluate new services and tools, and drive continuous improvement in cloud data engineering practices

Qualification

PythonJavaApache SparkAWS servicesSQLAWS CloudFormationTerraformAgile methodologiesSoftware Development Life CycleSystem designRelational databasesAWS Certifications

Required

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
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
Demonstrated experience in system design, including architecting scalable and reliable solutions, selecting appropriate technologies, defining system components and their interactions, and ensuring alignment with business requirements and performance goals through detailed documentation and collaborative design reviews
Experience with AWS services related to data storage and management, such as AWS Aurora, DynamoDB, S3, and RDS
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
AWS Certifications

Preferred

Extensive experience working with relational databases such as Oracle, MySQL, and SQL Server, including designing schemas, writing complex queries, optimizing performance, and ensuring data integrity for a variety of business applications
Snowflake experience is a plus
Databricks experience is a plus

Company

JPMorganChase

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With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

H1B Sponsorship

JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)

Funding

Current Stage
Public Company
Total Funding
unknown
1998-02-01IPO

Leadership Team

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Allison Beer
CEO of Card Services and Connected Commerce
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Dan Mendelson
CEO, Morgan Health
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Company data provided by crunchbase