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Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences)
full-timeRichmond, McLean$147k - $184k

Summary

Location

Richmond, McLean

Salary

$147k - $184k

Type

full-time

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About this role

Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One 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

Basic Qualifications: 

  • Bachelor’s Degree 

  • At least 3 years of experience in application development (Internship experience does not apply)

  • At least 1 year of experience in big data technologies 

Preferred Qualifications: 

  • 5+ years of experience in application development including Python, SQL, Scala, or Java

  • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

  • 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

  • 2+ year experience working on real-time data and streaming applications 

  • 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 

  • 2+ years of data warehousing experience (Redshift or Snowflake) 

  • 3+ years of experience with UNIX/Linux including basic commands and shell scripting

  • 2+ years of experience with Agile engineering practices 

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $161,800 - $184,600 for Senior Data Engineer


 

Richmond, VA: $147,100 - $167,900 for Senior Data Engineer


 


 


 


 


 


 


 


 


 

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. 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 [email protected]

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).

Other facts

Tech stack
Data Engineering,Machine Learning,Distributed Microservices,Full Stack Development,Java,Scala,Python,RDBMS,NoSQL,Cloud Computing,Agile,Data Warehousing,UNIX,Linux,Streaming Applications,Unit Testing

About Capital One

At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.

Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.

View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Financial Services

What you'll do

  • Collaborate with Agile teams to design and implement technical solutions while supporting full-stack development. Deliver cloud-based solutions that enhance customer experiences and drive financial empowerment.

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Frequently Asked Questions

What does Capital One pay for a Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences)?

Capital One offers a competitive compensation package for the Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences) role. The salary range is USD 147k - 185k per year. Apply through Clera to learn more about the full compensation details.

What does a Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences) do at Capital One?

As a Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences) at Capital One, you will: collaborate with Agile teams to design and implement technical solutions while supporting full-stack development. Deliver cloud-based solutions that enhance customer experiences and drive financial empowerment..

Why join Capital One as a Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences)?

Capital One is a leading Financial Services company. The Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences) role offers competitive compensation.

Is the Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences) position at Capital One remote?

The Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences) position at Capital One is based in Richmond, Virginia, United States and McLean, Virginia, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences) position at Capital One?

You can apply for the Senior Data Engineer (Risk Tech, Intelligent Foundations and Experiences) position at Capital One directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Capital One on their website.