Job Position and Location
NYC 299 Park Avenue (22957), United States of America, New York, New York
Senior Data Engineer (Python/SQL/Bigdata)
Job Description
- 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
Additional Information
- This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being.
- This role is expected to accept applications for a minimum of 5 business days.
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, 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.
Contact Information
If you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to provide needed reasonable accommodations.