Data Engineer jobs at Discover

Capital One Software is seeking a Lead Data Engineer who is passionate about marrying innovation with emerging technologies. In 2022, we publicly announced Capital One Software and have since brought two of our B2B software solutions to market; Slingshot and Databolt. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead Data Engineer you'll have the opportunity to build meaningful software that enables our customers to manage their data securely and efficiently at any scale. **What You'll Do:** + Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies + Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems + Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Databricks and Snowflake + Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community + Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment + Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance **Basic Qualifications:** + Bachelor's Degree + At least 4 years of experience in application development (Internship experience does not apply) + At least 2 years of experience in big data technologies + At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) **Preferred Qualifications:** + 7+ years of experience in application development including Python, SQL, Scala, or Java + 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) + 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) + 4+ year experience working on real-time data and streaming applications + 4+ years of experience with NoSQL implementation (Mongo, Cassandra) + 4+ years of data warehousing experience (Snowflake) + 4+ years of experience with UNIX/Linux including basic commands and shell scripting + 2+ years of experience with Agile engineering practices **_At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer)._** 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 Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer 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).

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. **Responsibilities:** + Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in + Collaborate on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates + Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team + Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible + Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization + Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner + Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent **Basic Qualifications:** + Bachelor's Degree + At least 7 years of experience in data engineering + At least 5 years of experience in data architecture **Preferred Qualifications:** + Masters' Degree + 7+ years of experience using Python, Java, Go, and SQL + 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis + 3+ years of experience with Databricks or Snowflake + 1+ year of experience deploying machine learning models _At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization)._ 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): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer 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).

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: 210638229 JobSchedule: Full time JobShift: Base Pay/Salary: Chicago,IL $114,000.00-$155,000.00; Jersey City,NJ $133,000.00-$185,000.00 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 Commercial & Investment Bank, 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 JPMorgan Chase Commercial & Investment Bank is undertaking a strategic, initiative called Client 360 aimed at developing a big data platform and Firmwide solution for Entity Resolution and Relationships. We are seeking Big Data Software Engineers and Data Scientists with skills and experience implementing large-scale, cloud platform processing large amount of data. We are also seeing Data Scientists with skills and experiencing in AI/ML to implement creative ML and agentic AI solutions. This individual will work on groundbreaking work to implement new solutions for Client 360 - Entity Resolution and Relationships and also enhance the existing platform. Job responsibilities * Identify, analyze, and interpret trends or patterns in complex data sets * Innovate new ways of managing, transforming and validating data * Implement new or enhance services and scripts * Ideate, propose and implement Graph DB ( TigerGraph, Neo4J ) solutions for complex problems * Acquire and manage data from primary and secondary data sources and build ETL pipelines * Apply quality assurance best practices to all work products * Analyze, design and implement business-related solutions and core architectural changes using Agile programming methodologies with a development team * Comfortable learning cutting edge technology stacks and applications to greenfield projects Required qualifications, capabilities, and skills * Proficiency in advanced Python programming, with extensive experience in utilizing libraries such as Pandas and NumPy. * Experience in code and infrastructure for Big Data technologies (e.g. Spark, Kafka, Databricks etc.) and implementing complex ETL transformations * Experience with AWS services including EC2, EMR, ASG, Lambda, EKS, RDS and others * Experience developing APIs leveraging different back-end data stores (RDS, Graph, Dynamo, etc.) * Experience in writing efficient SQL queries * Strong understanding of linear algebra, statistics, and algorithms. * Strong Experience with UNIX shell scripting to automate file preparation and database loads * Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues * Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc. * Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy * Strong development discipline and adherence to best practices and standards. Preferred qualifications, capabilities, and skills * Experience in Data Science, Machine Learning and AI is a plus * Experience in Agentic frameworks, lang chain and lang graph is a plus * Financial Services and Commercial banking experience is a plus * Familiarity with NoSQL platforms (MongoDB, AWS Open Search) is a plus

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank's core profitability and security, this is your team. This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. Our Distinguished Engineers Are: * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices * Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: * Bachelor's Degree * At least 7 years of experience in data engineering * At least 3 years of experience in data architecture * At least 2 years of experience building applications in AWS Preferred Qualifications: * Masters' Degree * 9+ years of experience in data engineering * 3+ years of data modeling experience * 2+ years of experience with ontology standards for defining a domain * 2+ years of experience using Python, SQL or Scala * 1+ year of experience deploying machine learning models * 3+ years of experience implementing big data processing solutions on AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position 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. Chicago, IL: $239,900 - $273,800 for Distinguished Data Engineer McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer New York, NY: $287,800 - $328,500 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished Data Engineer 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).

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the Team: You will join the Data Storage & Consumption Platform team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for consumption platforms leveraged by all lines of business. Your focus is on maturing platform scalability, Operational Excellence, Performance, and Resiliency. We require deep expertise in AWS infrastructure ,Lakehouse architecture, Snowflake, Databricks platform and BI tools to mature these enterprise-scale systems and execute technical strategy. Our Sr. Distinguished Engineers Are: * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices * Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Identify, benchmark and contribute towards opportunities to improve system availability, security, reliability, cost optimization and performance * Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: * Bachelor's Degree * At least 7 years of experience in software engineering or data engineering * At least 5 years of people management experience * At least 3 years of experience with Big Data and data streaming * At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform) * At least 9 years of experience in data engineering writing production quality code with a focus on distributed systems Preferred Qualifications: * Masters' Degree * 10+ years of experience in data engineering * 3+ years of experience implementing big data frameworks and processing solutions * 3+ years of data modeling experience * 2+ years of experience with ontology standards for defining a domain * 2+ years of experience using Python, SQL or Scala * 1+ year of experience deploying machine learning models Capital One will consider sponsoring a new qualified applicant for employment authorization for this position 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. Chicago, IL: $280,600 - $320,200 for Sr Distinguished Data Engineer McLean, VA: $308,700 - $352,300 for Sr Distinguished Data Engineer New York, NY: $336,700 - $384,200 for Sr Distinguished Data Engineer Richmond, VA: $280,600 - $320,200 for Sr Distinguished Data Engineer San Francisco, CA: $336,700 - $384,200 for Sr Distinguished Data Engineer 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).

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. **About the Team:** You will join the Data Storage & Consumption Platform team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for consumption platforms leveraged by all lines of business. Your focus is on maturing platform scalability, Operational Excellence, Performance, and Resiliency. We require deep expertise in AWS infrastructure ,Lakehouse architecture, Snowflake, Databricks platform and BI tools to mature these enterprise-scale systems and execute technical strategy. **Our Sr. Distinguished Engineers Are:** + Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices + Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates + Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community + Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities **Responsibilities:** + Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in + Identify, benchmark and contribute towards opportunities to improve system availability, security, reliability, cost optimization and performance + Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team + Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible + Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization + Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner + Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent **Basic Qualifications:** + Bachelor's Degree + At least 7 years of experience in software engineering or data engineering + At least 5 years of people management experience + At least 3 years of experience with Big Data and data streaming + At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform) + At least 9 years of experience in data engineering writing production quality code with a focus on distributed systems **Preferred Qualifications:** + Masters' Degree + 10+ years of experience in data engineering + 3+ years of experience implementing big data frameworks and processing solutions + 3+ years of data modeling experience + 2+ years of experience with ontology standards for defining a domain + 2+ years of experience using Python, SQL or Scala + 1+ year of experience deploying machine learning models **_Capital One will consider sponsoring a new qualified applicant for employment authorization for this position_** 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. Chicago, IL: $280,600 - $320,200 for Sr Distinguished Data Engineer McLean, VA: $308,700 - $352,300 for Sr Distinguished Data Engineer New York, NY: $336,700 - $384,200 for Sr Distinguished Data Engineer Richmond, VA: $280,600 - $320,200 for Sr Distinguished Data Engineer San Francisco, CA: $336,700 - $384,200 for Sr Distinguished Data Engineer 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).

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 In Capital One's Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can't prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company's bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation. Role Description In this role, you will: * Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data * Build statistical and machine learning models to challenge the models in production * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love The Ideal Candidate is: * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. 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 year 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) plus 3 years of experience in data analytics * At least 4 years' experience in Python, Scala, or R for large scale data analysis * At least 4 years' experience with machine learning * At least 4 years' experience with predictive modeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Plano, TX: $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Richmond, VA: $175,800 - $200,700 for Mgr, Data Science Riverwoods, IL: $175,800 - $200,700 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).

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** In Capital One's Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can't prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company's bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation. **Role Description** **In this role, you will:** + Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data + Build statistical and machine learning models to challenge the models in production + Flex your interpersonal skills to translate the complexity of your work into tangible business goals + Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love **The Ideal Candidate is:** + Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. + Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. **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 year 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) plus 3 years of experience in data analytics + At least 4 years' experience in Python, Scala, or R for large scale data analysis + At least 4 years' experience with machine learning + At least 4 years' experience with predictive modeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Plano, TX: $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Richmond, VA: $175,800 - $200,700 for Mgr, Data Science Riverwoods, IL: $175,800 - $200,700 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: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Chicago,IL $137,750.00-$235,000.00; Jersey City,NJ $164,350.00-$260,000.00 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.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: * Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights * Applies agile practices for project management, solution development, deployment, and maintenance * Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production * Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment * Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables * Supports the identification of potential issues and development of controls * Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics * Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology * Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks * Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts * Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business * Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance * Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics * Identifies business trends based on economic and portfolio conditions and communicates findings to senior management * Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights * Link Analysis/Graph analytics to find and mitigate densely connected fraud networks * Developing and tuning graph algorithms to maximize detection of fraud * Assist with the generation, prioritization, and investigation of fraud rings Required Qualifications: * Minimum of 4 years of experience in data and analytics * Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages * Must be proficient with SQL and one of SAS, Python, or Java * Critical problem-solving skills including selection of data and deployment of solutions * Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions * Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) * Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications: * Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) * 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas * Deep understanding of graph databases, graph algorithms, and experience developing graph schemas * Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques * Proficient with H2O or similar advanced analytical tools * Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation * Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: * Agile Practices * Application Development * DevOps Practices * Technical Documentation * Written Communications * Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures, and Guidelines Management Shift: 1st shift (United States of America) Hours Per Week: 40

Charlotte, North Carolina;Richmond, Virginia; Fort Worth, Texas; New York, New York; Boston, Massachusetts; Chandler, Arizona; Chicago, Illinois; Tampa, Florida; Kennesaw, Georgia; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona **To proceed with your application, you must be at least 18 years of age.** Acknowledge Refer a friend **To proceed with your application, you must be at least 18 years of age.** Acknowledge (*********************************************************************************************************************************** **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! **Job Summary** This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. **Client Protection Shared Services** - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. **Responsibilities:** + Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights + Applies agile practices for project management, solution development, deployment, and maintenance + Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production + Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment + Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables + Supports the identification of potential issues and development of controls + Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics + Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology + Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks + Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts + Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business + Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance + Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics + Identifies business trends based on economic and portfolio conditions and communicates findings to senior management + Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights + Link Analysis/Graph analytics to find and mitigate densely connected fraud networks + Developing and tuning graph algorithms to maximize detection of fraud + Assist with the generation, prioritization, and investigation of fraud rings **Required Qualifications:** - Minimum of 4 years of experience in data and analytics - Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages - Must be proficient with SQL and one of SAS, Python, or Java - Critical problem-solving skills including selection of data and deployment of solutions - Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team - Excellent communication and influencing skills - Thrives in fast-paced and highly dynamic environment - Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions - Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) - Expertise in data analytics and technical development lifecycles including having coached junior staff **Desired Qualifications:** - Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) - 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas - Deep understanding of graph databases, graph algorithms, and experience developing graph schemas - Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques - Proficient with H2O or similar advanced analytical tools - Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects - Experience influencing mid to senior (executive) level leaders - Experience managing risk and issue remediation - Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile **Skills:** + Agile Practices + Application Development + DevOps Practices + Technical Documentation + Written Communications + Artificial Intelligence/Machine Learning + Business Analytics + Data Visualization + Presentation Skills + Risk Management + Adaptability + Collaboration + Consulting + Networking + Policies, Procedures, and Guidelines Management **Shift:** 1st shift (United States of America) **Hours Per Week:** 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your **"Know your Rights (************************************************************************************** "** poster. **View the LA County Fair Chance Ordinance (************************************************************************************************** .** Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work. This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Make banking a Fifth Third better We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank. GENERAL FUNCTION: The Data Scientist will perform data analysis, statistical analysis, and develop algorithms and methodologies on structured and unstructured data for on-demand and software-embedded use. Manage key analyses to drive more profitable business decisions. Focus on providing value-added analysis and recommendations to support business growth. Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Build large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. * Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. * Develop and manage and develop analyses and algorithms that generate actionable insights and programs to improve long-term revenue and relevance. * Partner with key stakeholders to understand the underlying needs of the business and formulate, communicate and create buy-in for analytics approaches and solutions. * Effective communicate and translate business strategy and goals into manageable problems with well-defined measurable objectives and outcomes. * Transform formulated problems into implementations plans for experiments by developing data sources, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results. * Ad hoc reporting and analytics to support requests from the Bank's various lines of business. * Provides input into the creation of detailed project plans, work assignments, target dates and other aspects of assigned projects. MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED: * Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Advanced degrees preferred, but not required. * Typically requires minimum of 4-5 years work experience. * Database and analytical experience required. * Excellent written and oral communications skills. * Ability to effectively manage time. * Independent and highly self-motivated. * Ability to communicate effectively. * Strong PC skills including Microsoft Office (Word, Excel, Access, PowerPoint). All interested Masters of Science & Analytics (M.S.A) students regardless of university enrollment are encouraged to apply. All applicants will be considered. * Must be authorized to work in the U.S. without the need for employment-based immigration sponsorship now or in the future All interested Masters of Science in Analytics (M.S.A) students regardless of university enrollment are encouraged to apply. All applicants will be considered. At Fifth Third Bank, we understand the importance of rewarding our employees for their hard work and dedication, therefore, our Total Rewards offering includes a differentiated compensation package and comprehensive benefits. Our benefits programs are designed to support the health, happiness, and financial well-being of our employees and their families. Your benefits will include access to comprehensive medical, dental, and vision coverage, a 401(k) plan and employee stock purchase plan that both offer a generous employer match, flexible paid time off, comprehensive leave programs, and unique benefits to support your overall mental and physical wellness. For additional details, please contact your recruiter. Data Scientist, Decision Sciences Group (Graduate Program) Total Base Pay Range 80,500.00 - 169,100.00 USD Annual At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day. The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance. Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: *************************************************************** or by consulting with your talent acquisition partner. LOCATION -- Cincinnati, Ohio 45202 Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes - no matter how they are submitted - will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee. Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

Make banking a Fifth Third better We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank. GENERAL FUNCTION: The Data Scientist will perform data analysis, statistical analysis, and develop algorithms and methodologies on structured and unstructured data for on-demand and software-embedded use. Manage key analyses to drive more profitable business decisions. Focus on providing value-added analysis and recommendations to support business growth. Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types. ESSENTIAL DUTIES AND RESPONSIBILITIES: + Build large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. + Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. + Develop and manage and develop analyses and algorithms that generate actionable insights and programs to improve long-term revenue and relevance. + Partner with key stakeholders to understand the underlying needs of the business and formulate, communicate and create buy-in for analytics approaches and solutions. + Effective communicate and translate business strategy and goals into manageable problems with well-defined measurable objectives and outcomes. + Transform formulated problems into implementations plans for experiments by developing data sources, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results. + Ad hoc reporting and analytics to support requests from the Bank's various lines of business. + Provides input into the creation of detailed project plans, work assignments, target dates and other aspects of assigned projects. MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED: + Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Advanced degrees preferred, but not required. + Typically requires minimum of 4-5 years work experience. + Database and analytical experience required. + Excellent written and oral communications skills. + Ability to effectively manage time. + Independent and highly self-motivated. + Ability to communicate effectively. + Strong PC skills including Microsoft Office (Word, Excel, Access, PowerPoint). All interested Masters of Science & Analytics (M.S.A) students regardless of university enrollment are encouraged to apply. All applicants will be considered. + Must be authorized to work in the U.S. without the need for employment-based immigration sponsorship now or in the future All interested Masters of Science in Analytics (M.S.A) students regardless of university enrollment are encouraged to apply. All applicants will be considered. At Fifth Third Bank, we understand the importance of rewarding our employees for their hard work and dedication, therefore, our Total Rewards offering includes a differentiated compensation package and comprehensive benefits. Our benefits programs are designed to support the health, happiness, and financial well-being of our employees and their families. Your benefits will include access to comprehensive medical, dental, and vision coverage, a 401(k) plan and employee stock purchase plan that both offer a generous employer match, flexible paid time off, comprehensive leave programs, and unique benefits to support your overall mental and physical wellness. For additional details, please contact your recruiter. Data Scientist, Decision Sciences Group (Graduate Program) Total Base Pay Range 80,500.00 - 169,100.00 USD Annual At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day. The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance. Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: *************************************************************** or by consulting with your talent acquisition partner. LOCATION -- Cincinnati, Ohio 45202 Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes - no matter how they are submitted - will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee. Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

JobID: 210683540 JobSchedule: Full time JobShift: Base Pay/Salary: Chicago,IL $80,000.00-$140,000.00; Jersey City,NJ $90,000.00-$160,000.00; New York,NY $90,000.00-$160,000.00; Palo Alto,CA $90,000.00-$160,000.00; Seattle,WA $90,000.00-$160,000.00 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.

JobID: 210664356 JobSchedule: Full time JobShift: Day Base Pay/Salary: Chicago,IL $99,750.00-$125,000.00 You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Commercial Investment Bank 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 * Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems * Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development * Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems * Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture * Develop and enhance CI/CD pipelines to automate build, test, scan and deployment workflows * Administer and optimize GitHub Enterprise for repository management and CI/CD integrations via GitHub and Bitbucket * Automate repetitive tasks using Python or another scripting language * Monitor platform performance, availability, and security; troubleshoot issues proactively * Assist in the management of software releases, provide environment support, and offer production support as needed * Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 2+ years applied experience * U.S. Citizen or Legal Permanent Resident having lived in the U. S. continuously for the past 7 years * Experience in DevOps, Platform Engineering, or a related role. * Hands-on practical experience in system design, application development, testing, and operational stability * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages * Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Strong knowledge of CI/CD concepts and pipeline implementation * Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Proven expertise with Amazon Web Service, Spinnaker, Bitbucket and Terraform for resource provisioning * Hands-on experience managing GitHub Enterprise, Bitbucket, Jenkins, Kubernetes * Proficiency in Python or other scripting languages (e.g., Bash, PowerShell) Preferred qualifications, capabilities, and skills * Familiarity with modern front-end technologies * Exposure to cloud technologies * Experience using Groovy to script declarative Jenkins pipelines * Experience with monitoring and logging tools such as Prometheus, Grafana, Splunk, and Dynatrace * Familiarity with security best practices in cloud-native DevOps environments * One or more domain-specific certifications (e.g., AWS Solution Architect, Terraform Associate, Certified Jenkins Engineer, etc.)

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Commercial Investment Bank 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** + Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems + Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems + Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development + Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems + Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture + Develop and enhance CI/CD pipelines to automate build, test, scan and deployment workflows + Administer and optimize **GitHub Enterprise** for repository management and CI/CD integrations via **GitHub** and **Bitbucket** + Automate repetitive tasks using **Python** or another scripting language + Monitor platform performance, availability, and security; troubleshoot issues proactively + Assist in the management of software releases, provide environment support, and offer production support as needed + Adds to team culture of diversity, opportunity, inclusion, and respect **Required qualifications, capabilities, and skills** + Formal training or certification on software engineering concepts and 2+ years applied experience + **U.S. Citizen or Legal Permanent Resident having lived in the U. S. continuously for the past 7 years** + Experience in **DevOps** , **Platform Engineering** , or a related role. + Hands-on practical experience in system design, application development, testing, and operational stability + Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages + Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security + Strong knowledge of **CI/CD concepts** and pipeline implementation + Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) + Proven expertise with **Amazon Web Service** , **Spinnaker** , **Bitbucket** and **Terraform** for resource provisioning + Hands-on experience managing **GitHub Enterprise** , **Bitbucket, Jenkins, Kubernetes** + Proficiency in **Python** or other scripting languages (e.g., Bash, PowerShell) **Preferred qualifications, capabilities, and skills** + Familiarity with modern front-end technologies + Exposure to cloud technologies + Experience using Groovy to script declarative Jenkins pipelines + Experience with monitoring and logging tools such as **Prometheus** , **Grafana** , **Splunk,** and **Dynatrace** + Familiarity with security best practices in cloud-native DevOps environments + One or more domain-specific certifications (e.g., AWS Solution Architect, Terraform Associate, Certified Jenkins Engineer, etc.) 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 **Base Pay/Salary** Chicago,IL $99,750.00 - $125,000.00 / year

As a Software Engineer III at JPMorgan Chase within the Commercial Investment Banking in Merchant Services/Settlements, you will be at the forefront of transforming the card and payment processing industry with our enterprise-grade suite of applications, including Funding, Ledger, and Settlement Hub. We are dedicated to creating resilient, cloud-native solutions that efficiently manage high volumes. We are looking for a passionate and innovative Associate Software Engineer with expertise in Java, Python, and AWS to join our team. In this role, you will be instrumental in developing and maintaining our state-of-the-art applications, utilizing the latest technology stack to ensure scalability and resiliency. If you have a performance engineering mindset and take pride in owning deliverables from start to finish, we want to hear from you! Job responsibilities: Design, develop, and maintain high-performance, scalable, and resilient applications. Collaborate with cross-functional teams to define, design, and ship new features. Utilize cloud-native technologies such as AWS, Kubernetes (K8s), EKS, and ECS to build and deploy applications. Implement data processing solutions using PySpark, Kafka, and Snowflake. Develop backend services using Java, Spring Boot, and Python. Work with relational databases such as RDS and PostgreSQL to ensure data integrity and performance. Participate in code reviews, testing, and performance tuning to ensure high-quality deliverables. Embrace a DevOps culture by automating deployment and monitoring processes. Continuously explore and evaluate new technologies to enhance our technology stack. Look to create patterns and best practices that can be adopted beyond our existing remit making an impact on the organization and engineers within payments. Required qualifications, capabilities, and skills: Formal training or certification on software engineering concepts and 3+ years applied experience. Experience in software development, with a focus on building scalable and resilient applications. Proficiency in Java, Spring Boot, Python, and cloud platforms like AWS. Experience with containerization and orchestration tools such as Docker and Kubernetes. Familiarity with data processing frameworks like PySpark and messaging systems like Kafka. Strong understanding of relational databases, particularly PostgreSQL and RDS. Excellent problem-solving skills and a performance engineering mindset. Ability to work independently and collaboratively in a fast-paced environment. Strong communication skills and a passion for technology. Preferred Qualifications, Skills, and Capabilities: Proficiency in Java, Python, PySpark, AWS, Kafka and SQL Strong understanding of OOP & SOA principles, design patterns, industry best practices Experience with event-driven architectures and tools, data mesh architecture, data ingestion pipelines, workflow orchestration, containerization Ability to drive requirement refinement with product and stakeholders

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Commercial Investment Bank 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 Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Develop and enhance CI/CD pipelines to automate build, test, scan and deployment workflows Administer and optimize GitHub Enterprise for repository management and CI/CD integrations via GitHub and Bitbucket Automate repetitive tasks using Python or another scripting language Monitor platform performance, availability, and security; troubleshoot issues proactively Assist in the management of software releases, provide environment support, and offer production support as needed Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience U.S. Citizen or Legal Permanent Resident having lived in the U. S. continuously for the past 7 years Experience in DevOps, Platform Engineering, or a related role. Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Strong knowledge of CI/CD concepts and pipeline implementation Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proven expertise with Amazon Web Service, Spinnaker, Bitbucket and Terraform for resource provisioning Hands-on experience managing GitHub Enterprise, Bitbucket, Jenkins, Kubernetes Proficiency in Python or other scripting languages (e.g., Bash, PowerShell) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies Experience using Groovy to script declarative Jenkins pipelines Experience with monitoring and logging tools such as Prometheus, Grafana, Splunk, and Dynatrace Familiarity with security best practices in cloud-native DevOps environments One or more domain-specific certifications (e.g., AWS Solution Architect, Terraform Associate, Certified Jenkins Engineer, etc.)