Join one of the world's most innovative financial institutions and be part of a team that is transforming how financial data is engineered, processed, and delivered at scale. At JPMorganChase, we empower our engineers with cutting-edge tools, a collaborative culture, and the opportunity to grow your career while solving some of the most complex data challenges in financial services.
As a Software Engineer III at JPMorganChase within the Consumer & Community Banking Finance Data Engineering team in Plano, TX, you will design, build, and maintain scalable full stack solutions that power critical financial reporting and analytics capabilities across the firm. You will work closely with cross-functional teams to deliver high-quality, reliable applications and data pipelines that support data-driven financial decision-making at enterprise scale. Your work will directly influence how the firm processes, manages, and leverages financial data to serve millions of customers and stakeholders every day.
Our team is built on a foundation of engineering excellence, continuous learning, and collaborative innovation. You will thrive in a fully onsite environment in Plano, TX, where your ideas are valued, your growth is supported, and your contributions make a measurable difference across the organization.
Job responsibilities
- Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down complex technical problems
- Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems, leveraging Java and Python across full stack development in a production finance environment
- Design and implement scalable, cloud-native solutions on AWS, utilizing services such as S3, Lambda, EC2, RDS, and Glue to support enterprise data platform needs
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness
- Apply 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
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse financial data sets using SQL in service of continuous improvement of software applications and systems
- Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
- Participate in code reviews, providing and incorporating constructive feedback to continuously elevate code quality and engineering standards across the team
- Collaborate with product managers, architects, and cross-functional engineering teams to translate finance business requirements into scalable full stack technical solutions
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Proficiency in Java and/or Python for full stack development with demonstrated experience building and maintaining production-grade applications
- Strong proficiency in SQL for data querying, transformation, and analysis across large, complex financial datasets
- Demonstrated hands-on experience building and deploying solutions on AWS (e.g., S3, Lambda, EC2, RDS, or Glue) in a production environment
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Experience with distributed data processing frameworks such as Apache Spark or PySpark in a large-scale enterprise environment
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes
- Exposure to infrastructure-as-code tools such as Terraform or AWS CloudFormation
- Experience working within financial services or highly regulated enterprise data environments
- Knowledge of data governance, data quality, or metadata management practices within a finance or analytics context
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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 are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts and 3+ years of applied experience
- Practical experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment
- Proficiency in Java and/or Python for full-stack development and production-grade applications
- Strong proficiency in SQL for querying, transformation, and analysis of complex datasets
- Hands-on experience building and deploying production solutions on AWS
- Experience using enterprise-authorized AI-assisted software development tools and validating generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling, resiliency, and security expectations
- Knowledge of the Software Development Life Cycle
- Understanding of agile methodologies, CI/CD, application resiliency, and security
- Experience with Apache Spark or PySpark
- Familiarity with Docker and Kubernetes
- Exposure to Terraform or AWS CloudFormation
- Experience in financial services or highly regulated enterprise data environments
- Knowledge of data governance, data quality, or metadata management practices
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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