Senior Data Engineer
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Job Description
Capital One is 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 Agile teams to design, develop, test, implement, and support technical solutions
- Work with developers experienced in machine learning, microservices, and full stack systems
- Utilize programming languages like Java, Scala, Python, and various databases
- Stay updated on tech trends, experiment with new technologies, and mentor other members of the engineering community
Qualifications
- Bachelor's Degree
- 4+ years of application development experience
- 1+ year of experience in big data technologies
Preferred Qualifications
- 5+ years of application development experience 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
- 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
- 2+ years of experience with Agile engineering practices
Salary Information
The full-time annual salaries for this role in selected locations are as follows:
- 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
Benefits
Capital One offers a comprehensive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on employment status.
Application Process
This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Equal Opportunity Employer
Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
Expertise level
Work arrangement
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