Lead Software Engineer - Data Engineer

JPMorganChase • Columbus, OH

6h

About The Position

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Customer Acquisition and Marketing Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for developing and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 5+ years of hands-on experience in Java, Spring and Spring Boot
• 2+ years of hands-on experience with AWS especially Terraform, ECS, and Lambda
• 2+ years of hands-on experience with databases (MySQL, PostgreSQL, Cassandra) and above average with database fundamentals – can write complex queries, understands how to organize data, and troubleshoot performance issues
• Proven experience in data management, ETL pipeline development, and data processing
• Understand next generation messaging and streaming technologies such as Kafka
• Strong understanding of data quality, security, and lineage best practices
• Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight
• Hands-on practical experience delivering system design, application development, testing, and operation stability
• Excellent problem solving and analytical skills with strong customer focus
• Strong verbal and written communication skills

Nice To Haves

• Experience with cloud-based data warehouse migration and modernization
• Experience using Snowflake, Databricks or a similar PaaS offering
• Strong Python experience, especially in the context of developing Data solutions for large financial platforms
• Experience with Agentic technologies including design and implementation of production-grade solutions

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
• Design, develop, and optimize ETL pipelines for large-scale, complex data environments using Spark or similar framework
• Develops secure high-quality production code, and reviews and debugs code written by others
• Work in an Agile development environment with team members, including Product Owners and Data Owners
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end-to-end development life cycle
• Ensure quality and completeness of the product through unit, component, integration, and end-to-end testing
• Influence peers and project decision makers to consider the use and application of leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees