As a Software Engineer II - Big Data (ETL) / DevOps Engineer + AWS at JPMorgan Chase within the Commercial & Investment Bank, you'll be a part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Develop, enhance and test new/existing interfaces. The candidate will be part of existing agile team and will work on developing, enhancing ETL pipelines, design solutions
- Handle Dev Ops effort in terms of CICD, Scanning, Code, Performance testing and Test coverage
- Identify, analyze, and interpret trends or patterns in complex data sets and transforming existing ETL logic into AWS and Hadoop Platform
- Innovate new ways of managing, transforming and validating data
- 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
- Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
- Apply quality assurance best practices to all work products
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Experience in AWS Services and DBx
- Experience in Athena,Redshift,Glue,Aurora,RDS,S3, Lambda and EC2
- Experience in a Big Data technology (Hadoop and Spark Architecture, Performance tuning ,Spark SQL, Streaming, KAFKA, Entitlements etc., )
- Experience in real time streaming data
- 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.
- Experience in Python is a must and Experience in writing SQL queries is a must
- Experience with LLMs integration, prompt/context engineering, AI Agent frameworks
- Strong Experience with UNIX shell scripting is must
Experience in cloud platforms - AWS and DBx is a must and Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc. with strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Bachelor's degree in a technical or quantitative field with preferred focus on Information Systems
- Experience in Data bricks and Snowflake is preferred
- Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred.
Skills Required
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Experience in AWS services (Athena, Redshift, Glue, Aurora, RDS, S3, Lambda, EC2)
- Experience in DBx
- Experience in Big Data technologies (Hadoop, Spark, Spark SQL) and performance tuning
- Experience with real-time streaming data and Kafka
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, and secure handling in engineering workflows
- Experience in Python
- Experience writing SQL queries
- Experience with LLMs integration, prompt/context engineering, and AI Agent frameworks
- Strong experience with UNIX shell scripting
- Familiarity with relational databases (Oracle, SQL Server) and related artifacts (tables, views, stored procedures)
- Apply quality assurance best practices and establish data asset guidelines
- Experience with CI/CD, code scanning, performance testing, and test coverage in DevOps
- Bachelor's degree in a technical or quantitative field (preferred)
- Experience in Databricks and Snowflake
- Experience working in agile development teams, object-oriented development, and scripting languages
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.
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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.
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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.
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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.
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