Are you ready to shape the future of data engineering at JPMorganChase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You'll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm.
As a Software Engineer III at JPMorganChase within Investment Banking Data Products, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm's goals. Working alongside talented engineers, you will use your skills to drive innovation and help shape our team culture — one built on excellence, collaboration, and continuous improvement.
Job responsibilities
- Develop workflows and extract, load, and transform pipelines using Python and Databricks to support scalable and reliable data solutions
- Support the review of controls to ensure sufficient protection of enterprise data across the data lifecycle
- Implement data security using entitlements frameworks to safeguard sensitive information
- Update logical and physical data models based on evolving business use cases and requirements
- Apply SQL expertise — including complex joins and aggregations — and leverage working knowledge of NoSQL databases to support diverse data access patterns
- Apply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability, auditability, and alignment to resiliency and security expectations
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient applied experience
- Good working knowledge of cloud-based data services (especially Glue jobs and Federated Data Lake), unified analytics platforms, and Python
- Experience across the data lifecycle, including ingestion, transformation, storage, and access patterns
- Advanced proficiency in SQL, including joins and aggregations, with a working understanding of NoSQL databases
- Significant experience with statistical data analysis and the ability to determine appropriate tools and data patterns for analysis
- Experience utilizing cloud services for developing, deploying, and managing applications at scale
- Good understanding and working knowledge of software development lifecycle tools used for configuration management, continuous integration and delivery pipelines, unit testing, regression testing, and performance testing
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Preferred qualifications, capabilities, and skills
- Familiarity with standardized data layer practices such as Medallion architecture
- Exposure to relational database platforms and cloud data warehousing solutions
- Curiosity and foundational understanding of generative AI, large language models, and AI/ML solutions
- Skills in designing efficient data models, including normalization, denormalization, and schema design, with an understanding of relational and star schemas
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
Skills Required
- Formal training or certification in software engineering concepts with proficient applied experience
- Working knowledge of cloud-based data services, especially AWS Glue jobs and Federated Data Lake, unified analytics platforms, and Python
- Experience across data ingestion, transformation, storage, and access patterns
- Advanced SQL proficiency, including complex joins and aggregations, with working knowledge of NoSQL databases
- Significant experience with statistical data analysis and selecting appropriate tools and data patterns
- Experience using cloud services to develop, deploy, and manage applications at scale
- Working knowledge of software development lifecycle tools for configuration management, CI/CD, unit testing, regression testing, and performance testing
- Hands-on experience with enterprise-authorized AI-assisted software development tools and validating AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
- Familiarity with standardized data layer practices such as Medallion architecture
- Exposure to relational databases and cloud data warehousing solutions
- Foundational understanding of generative AI, large language models, and AI/ML solutions
- Experience designing efficient data models, including normalization, denormalization, schema design, relational schemas, and star schemas
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
-
Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
-
Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
-
Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
Gallery
