Capital One
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Lead Data Engineer
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Capital One . Overview
Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as 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 to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Qualifications
Basic Qualifications
Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications
7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of UNIX/Linux experience including basic commands and shell scripting 2+ years of experience with Agile engineering practices Additional Information
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based upon hours worked. Locations and ranges include: McLean, VA: $193,400 - $220,700 for Lead Data Engineer Plano, TX: $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range for that location. This role is eligible for performance-based incentives (cash bonuses and/or long-term incentives). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Eligibility varies based on status. 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. If you require an accommodation during the application process, 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; positions posted in Canada, the United Kingdom, and the Philippines refer to the respective Capital One entities. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology
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Lead Data Engineer
role at
Capital One . Overview
Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as 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 to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Qualifications
Basic Qualifications
Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications
7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of UNIX/Linux experience including basic commands and shell scripting 2+ years of experience with Agile engineering practices Additional Information
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based upon hours worked. Locations and ranges include: McLean, VA: $193,400 - $220,700 for Lead Data Engineer Plano, TX: $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range for that location. This role is eligible for performance-based incentives (cash bonuses and/or long-term incentives). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Eligibility varies based on status. 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. If you require an accommodation during the application process, 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; positions posted in Canada, the United Kingdom, and the Philippines refer to the respective Capital One entities. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology
#J-18808-Ljbffr