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Senior Data Engineer - job 2 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.

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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Average salary estimate

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$144200K
$164600K

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What You Should Know About Senior Data Engineer, Capital One

Join Capital One as a Senior Data Engineer in beautiful Richmond, VA, where you can truly make a difference. If you're excited about leveraging data with cutting-edge technology to tackle real business challenges, this is the perfect opportunity for you! At Capital One, we pride ourselves on fostering a culture of innovation and collaboration, which means you’ll work alongside a passionate team of makers and doers. In this role, you’ll have the exciting opportunity to design, develop, and implement robust technical solutions using full-stack development technologies, cloud-based services like Redshift and Snowflake, and programming languages such as Java, Scala, and Python. We value those who keep their fingers on the pulse of tech trends and are eager to learn and experiment. Imagine mentoring fellow engineers while collaborating seamlessly with digital product managers to create powerful experiences that enable millions of Americans to achieve financial empowerment. With a minimum of 3 years in application development and a fondness for big data technologies, you’ll be an integral part of our agile teams that take pride in delivering quality solutions. This role promises a dynamic work environment filled with challenges where your creativity and problem-solving skills can shine as you help us to drive significant transformation within Capital One. Ready to join us on this exciting journey?

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

As a Senior Data Engineer at Capital One, you will collaborate closely with agile teams to design, develop, and implement complex technical solutions. You’ll work extensively with programming languages like Java, Scala, and Python and utilize cloud-based data warehousing services such as Redshift and Snowflake to drive innovation. Your role will also include conducting unit tests, mentoring other engineers, and staying up-to-date on the latest tech trends to create powerful experiences for our users.

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What are the qualifications needed to become a Senior Data Engineer at Capital One?

To qualify for the Senior Data Engineer position at Capital One, candidates must hold a Bachelor’s Degree and have at least 3 years of experience in application development, including significant exposure to big data technologies. Preferred qualifications include 5+ years of application development experience in languages like Python and SQL, along with cloud experience (AWS, Azure, Google Cloud) and hands-on with distributed data tools like Hadoop and Spark.

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What programming languages do I need to know for the Senior Data Engineer role at Capital One?

For the Senior Data Engineer role at Capital One, candidates are expected to be proficient in several programming languages, primarily Java, Scala, and Python. Familiarity with SQL and experience in big data frameworks will also be advantageous. This skill set enables you to tackle the cutting-edge data challenges that Capital One is known for.

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What kind of projects will I work on as a Senior Data Engineer at Capital One?

As a Senior Data Engineer at Capital One, you will work on transformative projects that leverage data to create financial solutions for millions of Americans. You’ll team up with product managers and other engineers to design and implement cloud-based solutions that address complex business problems, enhancing the experiences of our users while employing emerging technologies.

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How does Capital One support professional development for Senior Data Engineers?

At Capital One, professional development is a cornerstone of our culture. As a Senior Data Engineer, you will have access to various resources, including training on the latest technologies, opportunities for mentorship, and participation in tech communities. Capital One actively encourages experimentation and continuous learning to help you stay at the forefront of the data engineering field.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with cloud data warehousing?

Certainly! When answering this question, detail the specific cloud platforms you’ve worked with, such as Redshift or Snowflake, and share relevant projects where you utilized these platforms. Emphasize your role, the technologies used, and the impact of your work on project outcomes.

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How do you approach collaboration in an Agile team environment?

Discuss your experience working in Agile environments, highlighting any specific methodologies you used, such as Scrum or Kanban. Share examples of how you ensured open communication, participated in sprint planning, and facilitated feedback loops to enhance team productivity.

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What big data technologies are you familiar with?

Be prepared to list the big data technologies you have experience with, like Hadoop, Spark, or Kafka. Share specific instances where you employed these tools to solve data-related challenges, focusing on results achieved through your expertise.

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Can you explain a challenging data problem you solved?

Provide a clear example of a challenging data problem you faced, your thought process in approaching it, and the ultimate solution you implemented. Highlight your technical skills and creativity in addressing the issue effectively.

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How do you keep current with technological advancements and trends?

Discuss your strategies for staying updated, such as attending conferences, participating in online forums, or subscribing to relevant tech publications. This shows your proactive approach and passion for continuous learning in the tech field.

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What Java or Python projects have you completed?

Share your hands-on experience with specific projects using Java or Python, detailing the objectives, the technologies utilized, and your contributions. Aim to highlight your problem-solving skills and the successful outcomes achieved.

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How do you ensure the quality of your code?

Explain your practices for writing high-quality code, such as performing unit tests, code reviews, and using version control effectively. Discuss the importance of maintainability and performance in your coding practices.

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Describe your experience with NoSQL databases.

Be specific about the NoSQL databases you’ve worked with, such as MongoDB or Cassandra. Provide examples of projects where you implemented these solutions, focusing on the challenges faced and how you ensured data integrity and scalability.

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What techniques do you use for optimizing query performance?

Discuss the methods you utilize to optimize SQL queries, such as indexing, query rewriting, or partitioning. Provide examples that demonstrate your understanding of performance implications on data retrieval.

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How do you handle conflicts in team settings?

Share a constructive approach to conflict resolution, emphasizing open communication, active listening, and collaboration. Provide an example of a conflict you managed, explaining the outcome and how it improved team dynamics.

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