Senior Data Engineer - Principal Associate

• Full-time

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities:
Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name:
Capital One

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.

• 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 No
  
  SQL databases and Cloud based data store services such as Dynamo
  
  DB, 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

• 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, No
  
  SQL, and SQL
• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 3+ years experience with distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 2+ years of experience working on real-time data and streaming applications
• 2+ years of experience with No
  
  SQL implementations (Dynamo
  
  DB, 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.

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…