Senior Data Engineer

Job Description

• Position: Senior Data Engineer (Python/SQL/Bigdata)
• Location: NYC 299 Park Avenue (22957), United States of America, New York, New York

About the Company

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 cloud-based solutions that drive powerful experiences
• Perform unit tests and conduct reviews with other team members

Qualifications

• Basic Qualifications:
  • Bachelor's Degree
  • At least 4 years of experience in application development
  • 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

Location-Specific 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

Benefits and Additional Information

• Comprehensive health, financial, and other benefits
• Performance-based incentive compensation
• Opportunity to earn cash bonuses and/or long term incentives
• Competitive salaries based on location
• Diverse and inclusive workplace culture