Capital One
Distinguished Data Engineer - Card Technology
Capital One, Chicago, Illinois, United States, 60290
Overview
Distinguished Data Engineer - Card Technology at Capital One. You will be part of a community of technical experts aiming to shape the future of banking in the cloud and lead engineering across Card Data Architecture with a focus on data infrastructure, Generative AI, and machine learning solutions at Capital One scale. You will work with a team of developers, machine learning experts, product managers, and people leaders. Distinguished Engineers are technical leaders who drive practical, reusable solutions, mentor others, and contribute across the organization with clear communications and teaching materials. We value diversity of thought and foster an inclusive environment where ideas are heard and championed. You will mentor internal talent and actively recruit to grow Capital One Tech. Key responsibilities
Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics (e.g., performance, scalability, operability) Continue learning and inject advanced technical knowledge into the community Handle several projects simultaneously to maximize impact Act as a role model and mentor within the tech community Build resilient, scalable data pipelines and platforms capable of high throughput (e.g., 50k+ TPS with 4 9’s availability) Deeply understand large data pipelines for cleaning, transforming, and observing data Have a general understanding of Machine Learning principles and generative AI Operate with a platform mindset across multi-tenancy, serverless computing, and high-performance patterns Basic Qualifications
Bachelor’s Degree At least 7 years of experience in Data Engineering Preferred Qualifications
Master’s Degree 8+ years of experience in developing production-grade data pipelines for big data needs 10+ years of experience in microservices and real-time API development for distributed operational systems 8+ years of experience in cloud-native platforms (EventBridge, Fargate, Lambdas, DynamoDB) Experience with modern data platform strategies (Data Mesh, Data Fabric) Capital One will sponsor a new qualified applicant for employment authorization for this position. The salary ranges listed below vary by location and are for candidates hired to work in those locations. Salaries for part-time roles will be prorated. Locations and ranges include: Chicago, IL: $239,900 - $273,800 McLean, VA: $263,900 - $301,200 New York, NY: $287,800 - $328,500 Richmond, VA: $239,900 - $273,800 Other locations follow the pay range for the respective location. This role may include performance-based incentives. Capital One offers comprehensive benefits and a supportive work environment. Eligibility varies by status and role. For accommodations in the recruiting process, contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet). Capital One is committed to a drug-free workplace and to lawful background screening as applicable. Capital One does not provide, endorse, or guarantee third-party products or services on external sites.
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Distinguished Data Engineer - Card Technology at Capital One. You will be part of a community of technical experts aiming to shape the future of banking in the cloud and lead engineering across Card Data Architecture with a focus on data infrastructure, Generative AI, and machine learning solutions at Capital One scale. You will work with a team of developers, machine learning experts, product managers, and people leaders. Distinguished Engineers are technical leaders who drive practical, reusable solutions, mentor others, and contribute across the organization with clear communications and teaching materials. We value diversity of thought and foster an inclusive environment where ideas are heard and championed. You will mentor internal talent and actively recruit to grow Capital One Tech. Key responsibilities
Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics (e.g., performance, scalability, operability) Continue learning and inject advanced technical knowledge into the community Handle several projects simultaneously to maximize impact Act as a role model and mentor within the tech community Build resilient, scalable data pipelines and platforms capable of high throughput (e.g., 50k+ TPS with 4 9’s availability) Deeply understand large data pipelines for cleaning, transforming, and observing data Have a general understanding of Machine Learning principles and generative AI Operate with a platform mindset across multi-tenancy, serverless computing, and high-performance patterns Basic Qualifications
Bachelor’s Degree At least 7 years of experience in Data Engineering Preferred Qualifications
Master’s Degree 8+ years of experience in developing production-grade data pipelines for big data needs 10+ years of experience in microservices and real-time API development for distributed operational systems 8+ years of experience in cloud-native platforms (EventBridge, Fargate, Lambdas, DynamoDB) Experience with modern data platform strategies (Data Mesh, Data Fabric) Capital One will sponsor a new qualified applicant for employment authorization for this position. The salary ranges listed below vary by location and are for candidates hired to work in those locations. Salaries for part-time roles will be prorated. Locations and ranges include: Chicago, IL: $239,900 - $273,800 McLean, VA: $263,900 - $301,200 New York, NY: $287,800 - $328,500 Richmond, VA: $239,900 - $273,800 Other locations follow the pay range for the respective location. This role may include performance-based incentives. Capital One offers comprehensive benefits and a supportive work environment. Eligibility varies by status and role. For accommodations in the recruiting process, contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet). Capital One is committed to a drug-free workplace and to lawful background screening as applicable. Capital One does not provide, endorse, or guarantee third-party products or services on external sites.
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