Data Engineer jobs at American Express - 172 jobs

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: + Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. + Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. **Role Description** **In this role, you will:** + Lead the design, development, and maintenance of personalization and recommendation models. + Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences + Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. + Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. + Champion data-driven decision making across the team. **The Ideal Candidate is:** + Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. + Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **Basic Qualifications:** + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics + At least 1 years of experience leveraging open source programming languages for large scale data analysis + At least 1 year of experience working with machine learning + At least 1 year of experience utilizing relational databases **Preferred Qualifications:** + PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) + Strong proficiency in Python and SQL for large scale data analysis + At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling + At least 1 year of experience designing, training, and deploying large-scale models in production + At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) + At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions + Familiarity with sophisticated ML approaches to personalization models or recommendation systems + Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (******************************************* . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

JobID: 210689464 JobSchedule: Full time JobShift: : We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level. As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives. Job responsibilities * Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices. * Use domain modelling techniques to allow us to build best in class business products. * Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements * Build solutions that avoid single points of failure, using scalable architectural patterns. * Develop secure code so that our customers and ourselves are protected from malicious actors. * Promptly investigate and fix issues and ensure they do not resurface in the future. * Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns. * Structure software so that it is easy to understand, test and evolve. * See that our data is written and read in a way that's optimized for our needs. * Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate. * Support the products you've built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities and skills * Formal training or certification on data engineering concepts and 5+ years applied experience. * Recent hands-on professional experience as a data engineer * Expertise with Relational databases like Oracle, SQL Server and Postgres * Proficient with AWS cloud technologies and distributed systems * Proficiency with data transformation frameworks and data pipeline orchestration tools * Experience with data governance frameworks * Prior experience with managing large volumes of data and optimizing data processing * Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) * Excellent written and verbal communication skills * Understanding of event-base architecture, data streaming and messaging frameworks * Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. * Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities and skills * Experience in working in a highly regulated environment / industry * Understanding of incremental data processing and versioning * Understanding of RESTful APIs and web technologies

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities * Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs * Bridge scientific research and software engineering, applying expertise in both domains * Collaborate with engineering teams to lead the design and delivery of GenAI products * Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications * Integrate GenAI solutions with enterprise platforms using API-based methods * Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Align ML problem definition with business objectives * Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills * Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Ten years of experience in an individual contributor role in ML engineering * Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms * Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models * Experience integrating GenAI solutions with enterprise platforms via standardized API patterns * Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Excellent grasp of computer science fundamentals and SDLC best practices * Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills * PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray * Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints * Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed * Relocation assistance is not available for this role.

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. Role Description In this role, you will: Lead the design, development, and maintenance of personalization and recommendation models. Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. Champion data-driven decision making across the team. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 years of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) Strong proficiency in Python and SQL for large scale data analysis At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling At least 1 year of experience designing, training, and deploying large-scale models in production At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions Familiarity with sophisticated ML approaches to personalization models or recommendation systems Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

JobID: 210694296 JobSchedule: Full time JobShift: : This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products 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. Job Responsibilities: * Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing * Understand PySpark or distributed data processing frameworks * Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases * Have Experience with Airflow on MWAA, Astronomer or Kubernetes * Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda * Working knowledge of Terraform for infrastructure automation * Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. * Possess Ability to query and manage open-table format datasets. * Designing and optimizing ETL/ELT pipelines. * Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. * Utilize Experience with version control like GIT, testing frameworks, and code reviews Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 3+ years of applied experience * Proficiency in Python/Java technology * Hands-on practical experience in system design, application development, testing, and operational stability * Proficient in coding in one or more languages such as Python/Java * Experience in building solutions using cloud technologies like AWS * Exposure to message streaming technologies such KAFKA/FLINK * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. * Overall knowledge of the Software Development Life Cycle * Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

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 Consumer and Community Banking Customer Acquisition and Marketing Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for developing and maintaining critical data pipelines and architectures 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 break down technical problems Design, develop, and optimize ETL pipelines for large-scale, complex data environments using Spark or similar framework Develops secure high-quality production code, and reviews and debugs code written by others Work in an Agile development environment with team members, including Product Owners and Data Owners Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end-to-end development life cycle Ensure quality and completeness of the product through unit, component, integration, and end-to-end testing Influence peers and project decision makers to consider the use and application of leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience 5+ years of hands-on experience in Java, Spring and Spring Boot 2+ years of hands-on experience with AWS especially Terraform, ECS, and Lambda 2+ years of hands-on experience with databases (MySQL, PostgreSQL, Cassandra) and above average with database fundamentals - can write complex queries, understands how to organize data, and troubleshoot performance issues Proven experience in data management, ETL pipeline development, and data processing Understand next generation messaging and streaming technologies such as Kafka Strong understanding of data quality, security, and lineage best practices Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight Hands-on practical experience delivering system design, application development, testing, and operation stability Excellent problem solving and analytical skills with strong customer focus Strong verbal and written communication skills Preferred qualifications, capabilities, and skills Experience with cloud-based data warehouse migration and modernization Experience using Snowflake, Databricks or a similar PaaS offering Strong Python experience, especially in the context of developing Data solutions for large financial platforms Experience with Agentic technologies including design and implementation of production-grade solutions

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark. Hands-on experience with data lake platforms (Databricks, Spark, or similar). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based data warehouse migration and modernization. Excellent problem-solving and troubleshooting skills. Strong communication and documentation abilities. Ability to collaborate effectively with business and technical stakeholders.

This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products 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. Job Responsibilities: Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing Understand PySpark or distributed data processing frameworks Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases Have Experience with Airflow on MWAA, Astronomer or Kubernetes Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda Working knowledge of Terraform for infrastructure automation Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. Possess Ability to query and manage open-table format datasets. Designing and optimizing ETL/ELT pipelines. Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. Utilize Experience with version control like GIT, testing frameworks, and code reviews Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years of applied experience Proficiency in Python/Java technology Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages such as Python/Java Experience in building solutions using cloud technologies like AWS Exposure to message streaming technologies such KAFKA/FLINK Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

JobID: 210688620 JobSchedule: Full time JobShift: : Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities * Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. * Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. * Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. * Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. * Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. * Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. * Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. * Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills * Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. * Proficiency in SQL, Python, and PySpark. * Hands-on experience with data lake platforms (Databricks, Spark, or similar). * Strong understanding of data quality, security, and lineage best practices. * Experience with cloud-based data warehouse migration and modernization. * Excellent problem-solving and troubleshooting skills. * Strong communication and documentation abilities. * Ability to collaborate effectively with business and technical stakeholders.

This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products 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. **Job Responsibilities:** + Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing + Understand PySpark or distributed data processing frameworks + Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases + Have Experience with Airflow on MWAA, Astronomer or Kubernetes + Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda + Working knowledge of Terraform for infrastructure automation + Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. + Possess Ability to query and manage open-table format datasets. + Designing and optimizing ETL/ELT pipelines. + Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. + Utilize Experience with version control like GIT, testing frameworks, and code reviews **Required qualifications, capabilities, and skills** + Formal training or certification on software engineering concepts and 3+ years of applied experience + Proficiency in Python/Java technology + Hands-on practical experience in system design, application development, testing, and operational stability + Proficient in coding in one or more languages such as Python/Java + Experience in building solutions using cloud technologies like AWS + Exposure to message streaming technologies such KAFKA/FLINK + Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. + Overall knowledge of the Software Development Life Cycle + Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security + Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 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. Equal Opportunity Employer/Disability/Veterans

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities** + Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. + Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. + Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. + Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. + Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. + Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. + Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. + Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. **Required Qualifications, capabilities and skills** + Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. + Proficiency in SQL, Python, and PySpark. + Hands-on experience with data lake platforms (Databricks, Spark, or similar). + Strong understanding of data quality, security, and lineage best practices. + Experience with cloud-based data warehouse migration and modernization. + Excellent problem-solving and troubleshooting skills. + Strong communication and documentation abilities. + Ability to collaborate effectively with business and technical stakeholders. 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 for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level. As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives. Job responsibilities Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices. Use domain modelling techniques to allow us to build best in class business products. Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements Build solutions that avoid single points of failure, using scalable architectural patterns. Develop secure code so that our customers and ourselves are protected from malicious actors. Promptly investigate and fix issues and ensure they do not resurface in the future. Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns. Structure software so that it is easy to understand, test and evolve. See that our data is written and read in a way that's optimized for our needs. Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate. Support the products you've built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities and skills Formal training or certification on data engineering concepts and 5+ years applied experience. Recent hands-on professional experience as a data engineer Expertise with Relational databases like Oracle, SQL Server and Postgres Proficient with AWS cloud technologies and distributed systems Proficiency with data transformation frameworks and data pipeline orchestration tools Experience with data governance frameworks Prior experience with managing large volumes of data and optimizing data processing Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) Excellent written and verbal communication skills Understanding of event-base architecture, data streaming and messaging frameworks Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities and skills Experience in working in a highly regulated environment / industry Understanding of incremental data processing and versioning Understanding of RESTful APIs and web technologies

We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level. As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives. **Job responsibilities** + Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices. + Use domain modelling techniques to allow us to build best in class business products. + Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements + Build solutions that avoid single points of failure, using scalable architectural patterns. + Develop secure code so that our customers and ourselves are protected from malicious actors. + Promptly investigate and fix issues and ensure they do not resurface in the future. + Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns. + Structure software so that it is easy to understand, test and evolve. + See that our data is written and read in a way that's optimized for our needs. + Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate. + Support the products you've built through their entire lifecycle, including in production and during incident management **Required qualifications, capabilities and skills** + Formal training or certification on data engineering concepts and 5+ years applied experience. + Recent hands-on professional experience as a data engineer + Expertise with Relational databases like Oracle, SQL Server and Postgres + Proficient with AWS cloud technologies and distributed systems + Proficiency with data transformation frameworks and data pipeline orchestration tools + Experience with data governance frameworks + Prior experience with managing large volumes of data and optimizing data processing + Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) + Excellent written and verbal communication skills + Understanding of event-base architecture, data streaming and messaging frameworks + Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. + Manage stakeholders and effectively prioritize work across multiple work streams. **Preferred qualifications, capabilities and skills** + Experience in working in a highly regulated environment / industry + Understanding of incremental data processing and versioning + Understanding of RESTful APIs and web technologies Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 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. Equal Opportunity Employer/Disability/Veterans

Are you a skilled data professional with a passion for transforming raw data into actionable insights and a proven track record of learning and implementing new technologies? The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of financial data and reporting across Consumer Community Banking. Our vision is to enhance the lives of our people and increase the firm's value by leveraging data and advanced tools to analyze information, generate insights, save time, improve processes and controls, and lead the organization in developing future-ready skills. As a Data Domain Architect Senior Associate in the Consumer Community Banking Finance Data & Insights Team, you will assist in the development, testing and on-going maintenance of finance data products for the Business Banking line of business. You will focus on understanding data requirements, developing proof of concept data against requirements, comparing data sources, testing solutions, as well as preparing ad hoc analysis for our CFO (Chief Finance Officers) stakeholders. The type of data covered is everything from BB (Business Banking) Field scorecard data (how we measure all business banking field personnel performance) to lending data (e.g. originations and funded loans) to Deposits (new and lost accounts, associated cash management services, revenue earned), etc. Job responsibilities Work closely with the business stakeholders/analysts to understand reporting requirements and functional needs. Translate business requirements into prototype solutions for new/enhancement requests, Provide a high level of responsiveness to ad-hoc requests. Ability to understand broad business questions and determine the data that will help answer/give insights to the business question, perform “what-if” scenario data analytics, and regulatory inquiries. Work closely with end-users/data product owners during the UAT phase of the project and perform testing to ensure new functionality meets end user requirements. Validate that production results comply with business requirements and expected results. Work with end users and the Business Intelligence team to develop and implement standard reporting solutions in support of Business Banking Finance. Support BAU operating model for Business Banking Field scorecard requests including loading of user data and investigation of banker questions. Required qualifications, capabilities, and skills 5+ years of total experience within MIS, Business Intelligence, and/or Analytics roles Must be proficient in SQL query writing. Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or Databricks, Oracle/SQL Server/Teradata, Cognos/BO, or SAS/R. Must be proficient with analysis in Excel including but not limited to Pivot, Vlookup, trend analysis etc. Must be proficient in one or more data & business intelligence concepts including ETL, Data Modeling, Reporting Automation, and/or Dashboarding. Self-starter, team player, good communication skills, be proactive in asking help when needed Ability to take cues/guidance and solve problems independently Strong attention to detail with ability to understand and communicate bigger picture Preferred qualifications, capabilities, and skills Databricks or AWS Cloud Experience Experience with Agile development framework Knowledge of Business Banking, Deposit Products, and or Cash Management products.

At JPMorganChase, we recognize that rewarding careers do not always follow a conventional path. We value the diversity, fresh perspective and wealth of experience that returning professionals can bring. The ReEntry program offers experienced professionals, who are currently on an extended career break of at least two years, the support and resources needed to relaunch their careers. The program spans over 30 locations worldwide. The ReEntry Program is a 15-week fellowship program, beginning April 20, 2026 and ending July 31, 2026 with the prospect of an offer for permanent employment with JPMorganChase at the end of the program. The permanent placements will be based on both business needs and candidate skill set. Please refer to our ReEntry Overview page for further information regarding the Program Technology at JPMorganChase We're one of the world's biggest technology- and data-driven companies. We spend $17 billion on technology and operate globally at unparalleled scale and speed. You'll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. You'll be tasked with keeping the team and other key stakeholders up to speed on the progress of what's being developed. And best of all, you'll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world. What We Look For We are looking for technology professionals in our US Tech Center locations with previous experience including but not limited to; Software Engineers (Fullstack & Backend) - with Java, Spring, .NET, Salesforce, Python, C++, Oracle, AWS & Kubernetes experience UI Engineers - JavaScript, React/Angular & ExpressJS/NodeJS/GoLang & Oracle/SQL Data Analytics, Quant Analytics, Scientists and Engineers Data Management Data Engineers - Hadoop, Spark, Kafka, Cassandra Database Management Architecture Agility Leads Technical Program Delivery Product Managers Solutions Analysts (Business Analysts & QA Analysts) Technology Support (Applications Support) DevOps, Site Reliability and Infrastructure Engineers UX Research and Design You will probably have a background in computer science, preferably in a software engineering role. You will be a creative, innovative team player with analytical, technical, problem solving, planning and organizational skills. As a business with an ongoing focus on software development, we would be very keen to hear from you if you have previous Open Source or Object Oriented programming experience with an understanding of agile methodologies.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Digital Tech. 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. The Chase Digital team is responsible for enhancing the desktop/mobile/tablet experiences for our current and prospective Chase customers. The Digital Technology Team is looking for a Software Engineer III with strong technical skills and a thorough understanding of the agile development process. We are building best in class Digital applications. You should have strong experience in HTML, CSS, and JavaScript, and a passion for creating the best user experience possible. Job responsibilities Design and develop responsive, scalable, and high-performance web applications using modern UI frameworks (such as React, Angular, or Vue.js) in alignment with business requirements and design specifications. Work closely with product owners, UX designers, backend developers, and QA engineers to deliver seamless and integrated user experiences. Write clean, maintainable, and well-documented code. Adhere to coding standards, perform code reviews, and ensure compliance with accessibility and security guidelines. Identify and resolve UI performance bottlenecks. Optimize application speed, responsiveness, and scalability. Develop and execute unit, integration, and end-to-end tests. Debug and troubleshoot issues across browsers and devices. Stay current with emerging UI technologies and industry trends. Propose and implement improvements to enhance user experience and development efficiency. Mentor junior developers, share technical expertise, and contribute to team learning through documentation and presentations. Effectively communicate technical concepts and project status to stakeholders, both technical and non-technical. Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and contribute to iterative development cycles. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Deep expertise in React.js, including hooks, context, component lifecycle, and state management . Advanced proficiency in vanilla JavaScript (ES6+), including asynchronous programming, DOM manipulation, and event handling. Strong understanding of HTML5 and CSS3, with experience building responsive and accessible web interfaces. Experience integrating with RESTful APIs and handling data flow between front-end and back-end systems. Familiarity with UI testing frameworks and tools such as Jest, React Testing Library, or Cypress. Knowledge of web accessibility standards (WCAG) and secure coding practices. Demonstrated problem-solving skills and attention to detail in troubleshooting, optimizing, and debugging complex UI applications across various browsers and devices. Strong communication and collaboration skills, with proven ability to work effectively in cross-functional teams within Agile/Scrum development environments. Willingness to mentor junior developers and contribute to team knowledge sharing. Commitment to continuous learning and staying updated with React.js and front-end development trends Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 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. Equal Opportunity Employer/Disability/Veterans

JobID: 210684239 JobSchedule: Full time JobShift: : We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Digital Tech. 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. The Chase Digital team is responsible for enhancing the desktop/mobile/tablet experiences for our current and prospective Chase customers. The Digital Technology Team is looking for a Software Engineer III with strong technical skills and a thorough understanding of the agile development process. We are building best in class Digital applications. You should have strong experience in HTML, CSS, and JavaScript, and a passion for creating the best user experience possible. Job responsibilities * Design and develop responsive, scalable, and high-performance web applications using modern UI frameworks (such as React, Angular, or Vue.js) in alignment with business requirements and design specifications. * Work closely with product owners, UX designers, backend developers, and QA engineers to deliver seamless and integrated user experiences. * Write clean, maintainable, and well-documented code. Adhere to coding standards, perform code reviews, and ensure compliance with accessibility and security guidelines. * Identify and resolve UI performance bottlenecks. Optimize application speed, responsiveness, and scalability. * Develop and execute unit, integration, and end-to-end tests. Debug and troubleshoot issues across browsers and devices. * Stay current with emerging UI technologies and industry trends. Propose and implement improvements to enhance user experience and development efficiency. * Mentor junior developers, share technical expertise, and contribute to team learning through documentation and presentations. * Effectively communicate technical concepts and project status to stakeholders, both technical and non-technical. * Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and contribute to iterative development cycles. Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 3+ years applied experience * Deep expertise in React.js, including hooks, context, component lifecycle, and state management . * Advanced proficiency in vanilla JavaScript (ES6+), including asynchronous programming, DOM manipulation, and event handling. * Strong understanding of HTML5 and CSS3, with experience building responsive and accessible web interfaces. * Experience integrating with RESTful APIs and handling data flow between front-end and back-end systems. * Familiarity with UI testing frameworks and tools such as Jest, React Testing Library, or Cypress. * Knowledge of web accessibility standards (WCAG) and secure coding practices. * Demonstrated problem-solving skills and attention to detail in troubleshooting, optimizing, and debugging complex UI applications across various browsers and devices. * Strong communication and collaboration skills, with proven ability to work effectively in cross-functional teams within Agile/Scrum development environments. * Willingness to mentor junior developers and contribute to team knowledge sharing. * Commitment to continuous learning and staying updated with React.js and front-end development trends

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Digital Tech. 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. The Chase Digital team is responsible for enhancing the desktop/mobile/tablet experiences for our current and prospective Chase customers. The Digital Technology Team is looking for a Software Engineer III with strong technical skills and a thorough understanding of the agile development process. We are building best in class Digital applications. You should have strong experience in HTML, CSS, and JavaScript, and a passion for creating the best user experience possible. **Job responsibilities** + Design and develop responsive, scalable, and high-performance web applications using modern UI frameworks (such as React, Angular, or Vue.js) in alignment with business requirements and design specifications. + Work closely with product owners, UX designers, backend developers, and QA engineers to deliver seamless and integrated user experiences. + Write clean, maintainable, and well-documented code. Adhere to coding standards, perform code reviews, and ensure compliance with accessibility and security guidelines. + Identify and resolve UI performance bottlenecks. Optimize application speed, responsiveness, and scalability. + Develop and execute unit, integration, and end-to-end tests. Debug and troubleshoot issues across browsers and devices. + Stay current with emerging UI technologies and industry trends. Propose and implement improvements to enhance user experience and development efficiency. + Mentor junior developers, share technical expertise, and contribute to team learning through documentation and presentations. + Effectively communicate technical concepts and project status to stakeholders, both technical and non-technical. + Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and contribute to iterative development cycles. **Required qualifications, capabilities, and skills** + Formal training or certification on **software engineering** concepts and 3+ years applied experience + Deep expertise in React.js, including hooks, context, component lifecycle, and state management . + Advanced proficiency in vanilla JavaScript (ES6+), including asynchronous programming, DOM manipulation, and event handling. + Strong understanding of HTML5 and CSS3, with experience building responsive and accessible web interfaces. + Experience integrating with RESTful APIs and handling data flow between front-end and back-end systems. + Familiarity with UI testing frameworks and tools such as Jest, React Testing Library, or Cypress. + Knowledge of web accessibility standards (WCAG) and secure coding practices. + Demonstrated problem-solving skills and attention to detail in troubleshooting, optimizing, and debugging complex UI applications across various browsers and devices. + Strong communication and collaboration skills, with proven ability to work effectively in cross-functional teams within Agile/Scrum development environments. + Willingness to mentor junior developers and contribute to team knowledge sharing. + Commitment to continuous learning and staying updated with React.js and front-end development trends Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 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. Equal Opportunity Employer/Disability/Veterans

JobID: 210684239 JobSchedule: Full time JobShift: : We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Digital Tech. 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. The Chase Digital team is responsible for enhancing the desktop/mobile/tablet experiences for our current and prospective Chase customers. The Digital Technology Team is looking for a Software Engineer III with strong technical skills and a thorough understanding of the agile development process. We are building best in class Digital applications. You should have strong experience in HTML, CSS, and JavaScript, and a passion for creating the best user experience possible. Job responsibilities * Design and develop responsive, scalable, and high-performance web applications using modern UI frameworks (such as React, Angular, or Vue.js) in alignment with business requirements and design specifications. * Work closely with product owners, UX designers, backend developers, and QA engineers to deliver seamless and integrated user experiences. * Write clean, maintainable, and well-documented code. Adhere to coding standards, perform code reviews, and ensure compliance with accessibility and security guidelines. * Identify and resolve UI performance bottlenecks. Optimize application speed, responsiveness, and scalability. * Develop and execute unit, integration, and end-to-end tests. Debug and troubleshoot issues across browsers and devices. * Stay current with emerging UI technologies and industry trends. Propose and implement improvements to enhance user experience and development efficiency. * Mentor junior developers, share technical expertise, and contribute to team learning through documentation and presentations. * Effectively communicate technical concepts and project status to stakeholders, both technical and non-technical. * Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives) and contribute to iterative development cycles. Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 3+ years applied experience * Deep expertise in React.js, including hooks, context, component lifecycle, and state management . * Advanced proficiency in vanilla JavaScript (ES6+), including asynchronous programming, DOM manipulation, and event handling. * Strong understanding of HTML5 and CSS3, with experience building responsive and accessible web interfaces. * Experience integrating with RESTful APIs and handling data flow between front-end and back-end systems. * Familiarity with UI testing frameworks and tools such as Jest, React Testing Library, or Cypress. * Knowledge of web accessibility standards (WCAG) and secure coding practices. * Demonstrated problem-solving skills and attention to detail in troubleshooting, optimizing, and debugging complex UI applications across various browsers and devices. * Strong communication and collaboration skills, with proven ability to work effectively in cross-functional teams within Agile/Scrum development environments. * Willingness to mentor junior developers and contribute to team knowledge sharing. * Commitment to continuous learning and staying updated with React.js and front-end development trends