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Capital One

Master Data Engineer

San Francisco, CA

201 Third Street (61049), United States of America, San Francisco, California

Master 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 love to solve real problems and meet real customer needs.

We are seeking Data Engineers who will be a part of a team that's building new analytical and machine learning tools and frameworks to exploit advantages in the latest developments in cloud computing. As a Capital One Data Engineer , you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Learn more about #lifeatcapitalone and our commitment to diversity & inclusion by jumping to slides 76-91 on our Corporate Social Responsibility Report.

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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 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 conducting 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 5 years of experience in application development
  • At least 2 years of experience in big data technologies (Cassandra, Accumulo, HBase, Spark, Hadoop, HDFS, AVRO, MongoDB, or Zookeeper)


Preferred Qualifications:
  • Master's Degree
  • 7+ years of experience in application development
  • 3+ year experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink
  • 1+ years of experience with Amazon Web Services (AWS), Microsoft Azure or another public cloud service
  • 2+ years of experience with Ansible / Terraform
  • 3+ years of experience with Agile engineering practices
  • 3+ years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)
  • 3+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 3+ years of experience developing Java based software solutions
  • 4+ years of experience in at least one scripting language (Python, Perl, JavaScript, Shell)
  • 4+ years of experience developing software solutions to solve complex business problems
  • 3+ years of experience with UNIX/Linux including basic commands and shell scripting


At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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).

Job ID: capital-R108412
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
    • Profit Sharing
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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