Career Opportunity: Senior Data Engineer at Capital One
Location: NYC 299 Park Avenue (22957), United States of America, New York, New York
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.
Responsibilities:
- 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)
- 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
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
Salary Information
Please note that the salary information below is specific to certain locations:
- 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. The actual annualized salary amount offered will be reflected in the candidate’s offer letter.
This role is also eligible to earn performance-based incentive compensation. Capital One offers a comprehensive set of benefits supporting total well-being.
About Capital One
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).