Job Description
West Creek 3 (12073), United States of America, Richmond, Virginia
Senior Data Engineer (Python, Scala, or Spark)
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.
Responsibilities
- 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
- Bachelor’s Degree
- At least 4 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)
- 3 years of data warehousing experience (Redshift or Snowflake)
- 2 years of experience with UNIX/Linux including basic commands and shell scripting
- 2 years of experience with Agile engineering practices
Salary Information
New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer
San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Data Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location.
Benefits
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.
Equal Opportunity Employer
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.