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Senior Data Engineer - job 3 of 5

Senior Data Engineer

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, or another type of work authorization).

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: $158,600 - $181,000 for Senior Data Engineer


 

Richmond, VA: $144,200 - $164,600 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 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 Careers@capitalone.com

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).

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What You Should Know About Senior Data Engineer, Capital One

As a Senior Data Engineer at Capital One in Richmond, VA, you'll be stepping into a dynamic and innovative technology space where you'll not only build but also pioneer solutions that transform the way we leverage data. If you're passionate about solving complex business challenges and enjoy working in a fast-paced, collaborative environment, then this is the perfect opportunity for you! You'll collaborate closely with Agile teams to design, develop, and support technical solutions that utilize full-stack development tools and technologies. Your competencies in programming languages like Java, Scala, and Python will be crucial, as will your experience with RDBMS and NoSQL databases, along with cloud-based data warehousing services such as Redshift and Snowflake. At Capital One, we believe in continuous learning and sharing knowledge, so you’ll be encouraged to keep abreast of tech trends and mentor your fellow engineers. Your contributions will directly impact millions of Americans seeking financial empowerment. As you perform unit tests and code reviews, you'll ensure that your code is not only rigorously designed but also elegantly crafted for optimal performance. Join us and be part of a community dedicated to creating effective solutions that matter!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Capital One
What are the responsibilities of the Senior Data Engineer role at Capital One?

As a Senior Data Engineer at Capital One, your primary responsibilities will include collaborating with Agile teams to design and develop scalable data solutions, implementing full-stack development tools, and working closely with experienced developers to tackle complex data challenges. Your role will also involve performing unit tests to ensure code quality while mentoring other engineers in the team.

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What qualifications do you need to be a Senior Data Engineer at Capital One?

To become a Senior Data Engineer at Capital One, you should have a Bachelor’s degree and at least three years of experience in application development, with at least one year specializing in big data technologies. Preferred qualifications include over five years in application development, experience in programming with Python and Java, and familiarity with cloud platforms like AWS, Azure, or Google Cloud.

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What programming languages are required for the Senior Data Engineer position at Capital One?

The Senior Data Engineer role at Capital One requires proficiency in programming languages such as Python, Java, and Scala. Knowledge of SQL and experience with NoSQL databases are also crucial for managing and manipulating extensive datasets effectively.

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What is the work culture like for a Senior Data Engineer at Capital One?

The work culture for a Senior Data Engineer at Capital One is collaborative and innovation-focused. You will be part of a team of creators and problem-solvers dedicated to leveraging technology to improve financial services. The company promotes continuous learning, and you'll have many opportunities to participate in tech communities and stay current with industry trends.

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What can I expect in terms of career development as a Senior Data Engineer at Capital One?

Capital One offers significant opportunities for career development as a Senior Data Engineer. You will not only enhance your technical skills by working with cutting-edge technologies but also have the chance to take on leadership roles, mentor peers, and actively contribute to ongoing tech innovations within the company.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with big data technologies in relation to the Senior Data Engineer role?

To effectively answer this question, highlight specific big data technologies you have worked with, such as Hadoop, Spark, or Kafka. Be prepared to discuss projects you've managed, detailing your role, the challenges faced, and how you successfully leveraged these technologies to drive results.

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How do you ensure your code is optimized for performance as a Senior Data Engineer?

When discussing code optimization, emphasize the importance of performing unit tests and code reviews. Mention specific techniques you use to enhance efficiency, such as optimizing queries, reducing resource consumption or using best coding practices to ensure the system runs smoothly.

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What challenges have you faced working with cloud-based solutions?

In your response, provide examples of challenges such as data security, cost management, or integration complexities. Discuss how you tackled these issues and the solutions you implemented, showcasing your problem-solving skills and adaptability in cloud environments.

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Describe your experience with Agile methodologies in software development.

Highlight your familiarity with Agile principles and your role within Agile teams. Discuss specific practices you followed, such as participating in daily stand-ups or sprint reviews, and emphasize how these practices improved team collaboration and project delivery.

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What strategies do you use to stay current with evolving technologies in data engineering?

Discuss the importance of continuous learning in tech. Mention attending workshops, participating in online forums, or subscribing to tech journals, and emphasize your commitment to personal growth that you’ll bring to the Senior Data Engineer position.

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How do you handle data quality issues in your projects?

When answering, talk about specific processes you follow to maintain data integrity, such as implementing robust validation checks, conducting regular audits, or using automated testing frameworks to catch discrepancies early.

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Can you provide an example of a successful project where you applied machine learning?

Frame your response by outlining the problem, the machine learning techniques you applied, and the outcome. Emphasize your contribution to the project and how it aligns with the objectives of the Senior Data Engineer role at Capital One.

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What tools do you prefer for data processing and why?

Discuss your preferred tools and the reasoning behind your choices, focusing on performance, scalability, ease of integration, and community support. Providing examples of how these tools have led to successful outcomes in your past projects can effectively enhance your answer.

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How do you prioritize tasks when managing multiple projects?

To answer this question, describe your approach to task management including prioritizing based on urgency, consulting with team members, and employing tools like Kanban or Scrum techniques to stay organized across various projects.

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What motivates you to work in data engineering?

Share your passion for working with data, emphasizing the impact it can have on real-world problems. Provide examples of what drives you, such as the satisfaction of solving complex challenges or the excitement of innovating in technology.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran

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