As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank - Digital & Platforms Services team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will help build and support enterprise data products and data platforms that power analytics, reporting, operational, and AI-driven solutions. Working alongside senior engineers, architects, and product teams, you will develop scalable data pipelines, contribute to data product development, and grow your expertise in modern Data Engineering practices.
Job Responsibilities
- Design, develop, test, and support data pipelines and data products using modern Data Engineering practices.
- Build and maintain scalable data ingestion, transformation, and integration processes on Databricks and related platform technologies.
- Leverages 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; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Implement data quality, validation, monitoring, and observability controls to ensure reliable and trusted data.
- Contribute to the development of analytical, operational, reporting, and AI-enabled data solutions.
- Collaborate with engineers, architects, product owners, and business stakeholders to understand requirements and deliver data solutions.
- Troubleshoot data pipeline issues, support production environments, and participate in operational support activities.
- Apply established engineering standards, design patterns, and best practices while continuously improving development skills.
- Participate in code reviews, testing, documentation, and release activities to ensure high-quality delivery.
- Identify opportunities to improve data quality, platform efficiency, automation, and engineering productivity.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience working with Databricks and distributed data processing technologies.
- Strong programming skills and understanding of Data Engineering fundamentals.
- 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.
- Familiarity with data architecture concepts, data modeling, and data product principles.
- Experience building and supporting batch and/or real-time data pipelines.
- Strong analytical and problem-solving skills with the ability to troubleshoot technical issues independently.
- Understanding of software development lifecycle practices, testing, version control, and CI/CD concepts.
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
Preferred Qualifications
- Experience working with modern enterprise data platforms and cloud-native data architectures.
- Experience supporting real-time, analytical, or AI/ML-oriented data use cases.
- Experience delivering data solutions within financial services or another highly regulated environment.
- Relevant Databricks, cloud, or Data Engineering certification.
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
- 3+ years of applied software engineering experience
- Experience working with Databricks and distributed data processing technologies
- Strong programming skills and understanding of data engineering fundamentals
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure handling, resiliency, and security expectations
- Familiarity with data architecture, data modeling, and data product principles
- Experience building and supporting batch and/or real-time data pipelines
- Strong analytical and independent technical troubleshooting skills
- Understanding of software development lifecycle practices, testing, version control, and CI/CD concepts
- Strong communication and cross-functional collaboration skills
- Experience with modern enterprise data platforms and cloud-native data architectures
- Experience supporting real-time, analytical, or AI/ML-oriented data use cases
- Experience delivering data solutions in financial services or another highly regulated environment
- Relevant Databricks, cloud, or data engineering certification
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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