Capital One
Senior Lead Data Engineer (Python, AWS, SQL, AI, ML)
Capital One, Richmond, Virginia, United States, 23214
Overview
Capital One is seeking a Senior Lead Data Engineer to drive a major transformation. You will be part of a collaborative, fast-paced team focused on building data-driven solutions that empower customers and support financial empowerment at 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 Lead 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 Redshift 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 for millions of Americans Perform unit tests and conduct reviews with other team members to ensure code is rigorously designed, elegantly coded, and tuned for performance Basic Qualifications
Bachelor’s Degree At least 6 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 of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications
Master's Degree 9+ 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) 5+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience working on real-time data and streaming applications 4+ years of experience deploying scalable AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies 4+ years of experience with NoSQL implementations (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Capita1 One will consider sponsoring a new qualified applicant for employment authorization for this position. Salaries are location-based. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Eligibility varies by status and location. 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. Additional Information
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 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 applicable laws regarding criminal background inquiries. If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities; postings in Canada, the United Kingdom, and the Philippines refer to Capital One affiliates in those regions.
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Capital One is seeking a Senior Lead Data Engineer to drive a major transformation. You will be part of a collaborative, fast-paced team focused on building data-driven solutions that empower customers and support financial empowerment at 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 Lead 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 Redshift 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 for millions of Americans Perform unit tests and conduct reviews with other team members to ensure code is rigorously designed, elegantly coded, and tuned for performance Basic Qualifications
Bachelor’s Degree At least 6 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 of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications
Master's Degree 9+ 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) 5+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience working on real-time data and streaming applications 4+ years of experience deploying scalable AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies 4+ years of experience with NoSQL implementations (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Capita1 One will consider sponsoring a new qualified applicant for employment authorization for this position. Salaries are location-based. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Eligibility varies by status and location. 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. Additional Information
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 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 applicable laws regarding criminal background inquiries. If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities; postings in Canada, the United Kingdom, and the Philippines refer to Capital One affiliates in those regions.
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