Job Opportunity at 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
- 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 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)
- 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
Salary Information:
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.
- 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
Equal Opportunity Employer
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]. For technical support or questions about Capital One's recruiting process, please send an email to [email protected].