Senior Data Engineer - Principal Associate

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• Work with a team of developers with deep experience in data pipelines, distributed microservices, and full stack systems
• Use programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data store services such as DynamoDB, Elasticache, 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
• Design and implement target data models that are optimized for search, query, reporting, or analytics
• Identify, analyze, and select quality data sources for target data models
• Design and develop data pipelines, including Extract, Transform, Load (ETL) programs to extract data from various sources and transform the data to fit the target model
• Test and deploy data pipelines to ensure compliance with Capital One's data governance and security policies
• Implement audits along with checks and balances to ensure data pipelines are working as intended, 24/7
• 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

Requirements

• 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
• 5+ years of experience in application development including Java, Python, NoSQL, and SQL
• 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 implementations (DynamoDB, Redis, Elasticache)
• 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
• At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
• New York City (Hybrid On-Site): $161,900 - $184,800 for Senior Data Engineer
• Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
• Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
• This role is expected to accept applications for a minimum of 5 business days.

Benefits

Additional Information

West Creek 4 (12074), United States of America, Richmond, Virginia Senior Data Engineer - Principal Associate 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.

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