Senior Data Engineer

$165,100 - $188,500/Yr

Capital One - York, PA

posted 4 days ago

Full-time - Mid Level
York, PA
Credit Intermediation and Related Activities

About the position

As a Senior Data Engineer at Capital One, you will play a crucial role in transforming data into actionable insights by leveraging advanced technologies. You will work within a collaborative Agile environment, focusing on building and maintaining the Authorization Data Pipeline Platform, which is essential for processing data efficiently and ensuring data quality. This position offers the opportunity to work with cutting-edge tools and technologies while contributing to the financial empowerment of millions of Americans.

Responsibilities

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

Requirements

  • Bachelor's Degree in a relevant field.
  • At least 3 years of experience in application development (excluding internship experience).
  • 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 of experience with distributed data/computing tools (MapReduce, 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 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 insurance coverage.
  • Financial benefits including performance-based incentives and bonuses.
  • Support for total well-being through various financial and health benefits.
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