Jobs in the United States

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Added 9 days ago
Principal Developer
RS21
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Added 9 days ago
Data Platform Engineer
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Principal Distributed Systems Engineer
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Added 9 days ago
AE
Staff Software Engineer - One Data Platform Engineering
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Added 9 days ago
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Software Modernization Architect, Lead
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Software Modernization Engineer, Lead
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Director, Cyber Forward Deployed Engineer
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Lead Software Engineer - Data Engg/ Data Analytics
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Houston, TX
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Added 9 days ago
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Added 10 days ago
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Added 10 days ago
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JPMorgan Chase

Lead Software Engineer - Data Engg/ Data Analytics

Houston, TX, United States

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Job details

Experience: Formal training or certification on software engineering concepts and 5+ years applied experience
Posting language: English
Posted: Aug 13, 2026

Original job description

Lead Software Engineer - Data Engg/ Data Analytics

Houston, TX, United States

Job Information

Job Identification 210764318
Job Category Software Engineering
Business Unit Corporate Sector
Posting Date 10/22/2026, 11:00 PM
Locations 600 Travis St, Houston, TX, 77002, US
Job Schedule Full time
Job Shift Day

Job Description

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 Corporate Technology - Data protection and Recovery product line, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
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.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
Create reports in JIRA, Confluence, and other platforms as needed, to improve product line reporting workflow, JIRA and resource analysis, Sprint results and efficiency, other metrics

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong 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 coaching engineers on safe, compliant adoption within delivery practices
Strong Python programming skills, including unit and integration testing
Strong SQL skills and experience with SQL-based transformation tooling .
Experience designing and operating orchestration pipelines using Airflow or similar tools
Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems
Experience and proficiency across the data lifecycle
Demonstrated experience delivering in an agile, fast-paced engineering environment
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

Experience in building application using Java Spark .
Experience with AWS cloud technologies.
Experience with data governance frameworks.
Understanding of incremental data processing and versioning.
Understanding of RESTful APIs and web technologies.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you’ll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You’ll work in a stable, resilient and secure operating environment where you - and the products you deliver - will thrive.

High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.

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More about this job

Skills

Data analysis
Data protection
Troubleshooting
Root cause analysis
Test automation
Software development
Information architecture
Data models
Statistics
Atlassian JIRA
Atlassian Confluence
Reporting
Workflow
Software development tools
Coaching
Python
SQL
Apache Airflow
Apache Kafka
Agile
CI/CD
Oracle Java
Apache Spark
AWS
Cloud technologies
Process data
API development
Cybersecurity

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