Data Engineer jobs at Capital One - 222 jobs

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

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

Come join us in reshaping the future! The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes, and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization. This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch. Job Responsibilities: Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks. Utilize advanced analytics to identify opportunities and support our bankers' as they build lasting relationships to help clients navigate their financial needs over time. Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed. Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources. Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required. Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic. Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions. Required qualifications, capabilities and skills: Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services. 3+ years of experience with optimization and machine learning models design and implementation - can be in a marketing, operational, or digital setting. Expertise implementing next-gen models using machine learning. Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. Problem-solving skills are essential. Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity. Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards.

JobID: 210698199 JobSchedule: Full time JobShift: : Job responsibilities * Provide direction, oversight, and coaching for a team of entry-level to mid-level engineers working on basic to moderately complex tasks. * Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into effective visual solutions. * Work in an Agile development environment with team members, including Product Managers,SRE Engineers. * Develop secure, high-quality production code, review and debug code written by others, and drive decisions influencing product design, application functionality, and technical operations. * Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end to end Development Life Cycle. * Influence peers and project decision-makers to consider the use and application of leading-edge technologies. * Stay current with industry trends and emerging technologies in Data Management, Artificial Intelligence and Machine Learning. Required qualifications, capabilities, and skills * 5+ years applied experience in data engineering. In addition, demonstrated coaching and mentoring experience. * Hands-on experience in writing code using Python libraries such as Pandas, Boto3, PySpark, and Jupyter Notebooks, along with AWS services including Glue, S3, Kafka, and Kubernetes * Hands-on practical experience delivering system design, application development, testing, and operational stability. * Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight * Proficient in automation and continuous delivery methods. * Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration. * Experience and proficiency across the data lifecycle * Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision * Advanced understanding of agile methodologies, Application Resiliency, and Security * Bachelor's degree in data science, Computer Science, Information Systems, Statistics, or a related field. Preferred qualifications, capabilities, and skills * Strong Python experience, especially in the context of developing solutions for large financial platforms. * Strong experience in AWS serverless services: This includes expertise in using AWS Step functions, Lambda , Dynamodb and NoSQL database services * Experience using AWS Lake Formation service.

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

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

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

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Employee Platform team, you play a vital role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. **Job responsibilities** + Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems. + Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others. + Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems. + Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials. + Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications. + Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput. + Implement data quality checks and validation processes to ensure accuracy and reliability of data. + Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics. + Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform. + Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights. + Contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect. **Required qualifications, capabilities, and skills** + Formal training or certification on **software engineering** concepts and 5+ years applied experience + 7+ years in data engineering, including design, application development, testing, and operational stability. + Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift. + Proficiency in programming languages like Python, Java, or Scala for data processing and application development. + Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control. + Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security. + Demonstrated proficiency in software applications and technical processes within technical disciplines like cloud, artificial intelligence, machine learning, and mobile. + In-depth knowledge of the financial services industry and their IT systems. + Proficiency in database management and data modeling, working with relational databases like Oracle or SQL Server. Skilled in writing SQL queries for efficient data management and retrieval, utilizing SQL tools such as DML for data handling, DDL for schema management, and PL/SQL for procedural extensions in Oracle databases. + Experience with scheduling tools like Autosys to automate and manage job scheduling for efficient workflow exec 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

This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities:** + Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing + Understand PySpark or distributed data processing frameworks + Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases + Have Experience with Airflow on MWAA, Astronomer or Kubernetes + Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda + Working knowledge of Terraform for infrastructure automation + Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. + Possess Ability to query and manage open-table format datasets. + Designing and optimizing ETL/ELT pipelines. + Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. + Utilize Experience with version control like GIT, testing frameworks, and code reviews **Required qualifications, capabilities, and skills** + Formal training or certification on software engineering concepts and 3+ years of applied experience + Proficiency in Python/Java technology + Hands-on practical experience in system design, application development, testing, and operational stability + Proficient in coding in one or more languages such as Python/Java + Experience in building solutions using cloud technologies like AWS + Exposure to message streaming technologies such KAFKA/FLINK + Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. + Overall knowledge of the Software Development Life Cycle + Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security + Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

Job responsibilities Provide direction, oversight, and coaching for a team of entry-level to mid-level engineers working on basic to moderately complex tasks. Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into effective visual solutions. Work in an Agile development environment with team members, including Product Managers,SRE Engineers. Develop secure, high-quality production code, review and debug code written by others, and drive decisions influencing product design, application functionality, and technical operations. Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end to end Development Life Cycle. Influence peers and project decision-makers to consider the use and application of leading-edge technologies. Stay current with industry trends and emerging technologies in Data Management, Artificial Intelligence and Machine Learning. Required qualifications, capabilities, and skills 5+ years applied experience in data engineering. In addition, demonstrated coaching and mentoring experience. Hands-on experience in writing code using Python libraries such as Pandas, Boto3, PySpark, and Jupyter Notebooks, along with AWS services including Glue, S3, Kafka, and Kubernetes Hands-on practical experience delivering system design, application development, testing, and operational stability. Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight Proficient in automation and continuous delivery methods. Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration. Experience and proficiency across the data lifecycle Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision Advanced understanding of agile methodologies, Application Resiliency, and Security Bachelor's degree in data science, Computer Science, Information Systems, Statistics, or a related field. Preferred qualifications, capabilities, and skills Strong Python experience, especially in the context of developing solutions for large financial platforms. Strong experience in AWS serverless services: This includes expertise in using AWS Step functions, Lambda , Dynamodb and NoSQL database services Experience using AWS Lake Formation service.

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities** + Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. + Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. + Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. + Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. + Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. + Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. + Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. + Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. **Required Qualifications, capabilities and skills** + Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. + Proficiency in SQL, Python, and PySpark. + Hands-on experience with data lake platforms (Databricks, Spark, or similar). + Strong understanding of data quality, security, and lineage best practices. + Experience with cloud-based data warehouse migration and modernization. + Excellent problem-solving and troubleshooting skills. + Strong communication and documentation abilities. + Ability to collaborate effectively with business and technical stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Job responsibilities + Provide direction, oversight, and coaching for a team of entry-level to mid-level engineers working on basic to moderately complex tasks. + Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems + Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into effective visual solutions. + Work in an Agile development environment with team members, including Product Managers,SRE Engineers. + Develop secure, high-quality production code, review and debug code written by others, and drive decisions influencing product design, application functionality, and technical operations. + Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end to end Development Life Cycle. + Influence peers and project decision-makers to consider the use and application of leading-edge technologies. + Stay current with industry trends and emerging technologies in Data Management, Artificial Intelligence and Machine Learning. Required qualifications, capabilities, and skills + 5+ years applied experience in data engineering. In addition, demonstrated coaching and mentoring experience. + Hands-on experience in writing code using Python libraries such as Pandas, Boto3, PySpark, and Jupyter Notebooks, along with AWS services including Glue, S3, Kafka, and Kubernetes + Hands-on practical experience delivering system design, application development, testing, and operational stability. + Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight + Proficient in automation and continuous delivery methods. + Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration. + Experience and proficiency across the data lifecycle + Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision + Advanced understanding of agile methodologies, Application Resiliency, and Security + Bachelor's degree in data science, Computer Science, Information Systems, Statistics, or a related field. Preferred qualifications, capabilities, and skills + Strong Python experience, especially in the context of developing solutions for large financial platforms. + Strong experience in AWS serverless services: This includes expertise in using AWS Step functions, Lambda , Dynamodb and NoSQL database services + Experience using AWS Lake Formation service. Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

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

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

JobID: 210669784 JobSchedule: Full time JobShift: : As part of our team, you'll help modernize our data environment and unlock new opportunities for career growth and skill development. As a Domain Data Architect in the Finance Data Mart team, you will partner with Technology and Product teams to design and deliver data domains using Databricks. You will enable the Finance function to access and analyze essential data, supporting business needs across banking, wealth management, credit cards, auto lending, and home lending. You will collaborate closely with stakeholders to make data discoverable and actionable, fostering a culture of informed decision-making and continuous improvement. You will work within a dynamic, cross-functional team, contributing to the transformation of our data architecture and integration processes. Your expertise will help ensure our data solutions remain robust, scalable, and aligned with industry best practices, supporting the analytical and reporting needs of the Finance organization. Job Responsibilities * Implement and optimize the Finance Data Mart using Databricks and ThoughtSpot for analytics and reporting * Design efficient data mart schemas consolidating key data categories from multiple source systems * Collaborate with data engineers, analysts, and technical specialists to gather and analyze business requirements * Develop and optimize ETL processes and data pipelines using Databricks * Partner with Area Product teams and stakeholders to design reporting and analytics solutions * Apply design-led thinking to make data discoverable and accessible for analytical needs * Maintain documentation on data mart architecture, data models, ETL processes, and governance policies * Stay current on industry best practices and emerging trends in data management * Ensure alignment of data solutions with organizational objectives * Support the Finance function across diverse business areas * Foster a collaborative and innovative team environment Required Qualifications, Capabilities, and Skills * Minimum seven years of experience in data architecture, data warehousing, and data integration in financial services * Bachelor's degree in Computer Science, Information Systems, or related discipline * Expertise in designing scalable data mart architectures, including star and snowflake schemas * Strong knowledge of data management, data lineage, and data dictionaries * Proven track record in managing and delivering complex data projects * Strong written and verbal communication skills * Proficiency in SQL, Data Modeling, and ERWIN Preferred Qualifications, Capabilities, and Skills * Strong knowledge of Amazon Web Services; AWS Certifications preferred * Experience with Databricks, Snowflake, or other cloud data warehouses * Experience with market-leading data catalog systems * Experience with ThoughtSpot, Sigma, Tableau, Alteryx, or Essbase a plus

JobID: 210641536 JobSchedule: Full time JobShift: : We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Employee Platform team, you play a vital role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. Job responsibilities * Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems. * Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others. * Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems. * Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials. * Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications. * Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput. * Implement data quality checks and validation processes to ensure accuracy and reliability of data. * Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics. * Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform. * Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights. * Contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 5+ years applied experience * 7+ years in data engineering, including design, application development, testing, and operational stability. * Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift. * Proficiency in programming languages like Python, Java, or Scala for data processing and application development. * Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control. * Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security. * Demonstrated proficiency in software applications and technical processes within technical disciplines like cloud, artificial intelligence, machine learning, and mobile. * In-depth knowledge of the financial services industry and their IT systems. * Proficiency in database management and data modeling, working with relational databases like Oracle or SQL Server. Skilled in writing SQL queries for efficient data management and retrieval, utilizing SQL tools such as DML for data handling, DDL for schema management, and PL/SQL for procedural extensions in Oracle databases. * Experience with scheduling tools like Autosys to automate and manage job scheduling for efficient workflow exec

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer Senior within PNC's Data Products Organization, you will be based in Pittsburgh-PA, Cleveland-OH, Birmingham-AL, or Dallas-TX. * Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices. * Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology. * Demonstrate initiative to develop approaches to solutions as part of a team * Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment. * Design, build and test data integration processes between business-critical applications to solve complex problems within financial services. * Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics Skills * Extensive experience with data technologies and distributed computing tools (Hadoop, Spark, Hive Kafka, HDFS, Sqoop, Impala, Beeline, CA7 Orchestration) * Lead experience as a Data Engineer * Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL * Practical development and application of Kafka streaming and complex orchestration * Proficient in Containerization (OpenShift, Kubernetes, Docker, etc.) * Experience with public cloud platforms (prefer AWS and Microsoft Azure) * Knowledge of Linux * Knowledge of Iceburg PNC will not provide sponsorship for employment visa for this position. PNC will not participate in OPT or STEM OPT for this position. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions. * Leads data requirement analysis and the data preparation process development for targeted data solutions. * Leads in designing and building data service infrastructure on multiple data platforms, according the workflow. * Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability. * Consults on data migration and transformation to ensure the accuracy and security of data solutions. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Adobe Spark, Analytical Thinking, Apache Kafka, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language) Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $65,000.00 - $149,500.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 08/26/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer Associate within PNC's C&IB Technology organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX or Birmingham, AL. The position is primarily based in a location within PNC's footprint. Successful candidate will have following qualifications: Ability to effectively analyze & solve issues, make decision, collaborate with team and delegate work when require. Facilitates complex problem resolution. Strong Organizational Skills - Work independently, ability to successfully plan, prioritize and execute multiple projects. * Provides technical guidance and support to colleagues. Review coding, testing, and documentation. Lead and mentor other developers on the team, * Extensive experience in working with one or more databases (Oracle 11/12 (preferred), Teradata, SQL Server or Hadoop) * Extensive experience in working with one or more of Business Intelligence tools (OBIEE v12 (preferred), Tableau, Microsoft Power BI) * Working experience with one or more ETL tools (PowerCenter Informatica, Oracle Data Integrator (ODI) etc.) * Extensive Experience in writing and debugging SQL/ PL/SQL code * Working experience with Shell scripting * Working Experience with Git or Jenkins is a plus * Working Experience with IBM UrbanCode Deploy (Udeploy) is a plus * Working Experience with data analysis in the financial services field is a plus. C&IB Technology is looking for a strong technical lead under Data Management & Business Intelligence team. Candidate must have strong organizational skills and can work independently. Must have abilities to successfully plan, prioritize and execute multiple projects in parallel. Ability to effectively analyze & solve issues, make decision, collaborate with team and delegate work when require. Facilitates complex problem resolution and provide technical guidance and support to colleagues. Review coding, testing, and documentation. Lead and mentor other developers on the team. Extensive experience with one of the relational databases and one of the BI suites is a plus. Nice to have some experience with SQL, PL/SQL, shell scripting and ETL process. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Assists in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions. * Performs data requirement analysis and the data preparation process development for targeted data solutions. * Assists in designing and building data service infrastructure on multiple data platforms, according the workflow. * Participates the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability. * Consults on data migration and transformation to ensure the accuracy and security of data solutions. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle Work Experience Roles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $42,000.00 - $123,360.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 10/23/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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).