Capital One - Richmond, VA

posted about 2 months ago

Full-time - Senior
Richmond, VA
Credit Intermediation and Related Activities

About the position

As a Senior Data Engineer at Capital One, you will be part of a dynamic team that is dedicated to solving complex business problems through innovative technology solutions. This role is pivotal in driving a major transformation within the organization, where you will collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies. You will work alongside a team of experienced developers who specialize in machine learning, distributed microservices, and full-stack systems, allowing you to leverage your skills in a collaborative and inclusive environment. Your responsibilities will include utilizing programming languages such as Java, Scala, and Python, as well as working with both Open Source RDBMS and NoSQL databases. You will also engage with cloud-based data warehousing services like Redshift and Snowflake, ensuring that you are at the forefront of technology trends. Your passion for technology will be essential as you experiment with new tools and participate in both internal and external technology communities. Mentoring other members of the engineering community will also be a key aspect of your role, fostering a culture of learning and growth. In addition to technical development, you will collaborate closely with digital product managers to deliver robust cloud-based solutions that enhance user experiences and empower millions of Americans financially. You will be responsible for performing unit tests and conducting code reviews to ensure that your code is rigorously designed, elegantly coded, and optimized for performance. This position offers a unique opportunity to make a significant impact within Capital One while working in a fast-paced and iterative delivery environment.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
  • Work with a team of developers experienced in machine learning, distributed microservices, and full-stack systems.
  • Utilize programming languages like Java, Scala, Python, and work with Open Source RDBMS and NoSQL databases.
  • Engage with cloud-based data warehousing services such as Redshift and Snowflake.
  • Stay updated on tech trends, experiment with new technologies, and mentor other engineering community members.
  • Collaborate with digital product managers to deliver cloud-based solutions that enhance user experiences.
  • Perform unit tests and conduct code reviews to ensure code quality and 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

Nice-to-haves

  • 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

Benefits

  • Comprehensive health benefits
  • Financial benefits
  • Inclusive workplace environment
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