Senior Data Engineer

7 days ago


Plano, Texas, United States Capital One Full time
Job Description

Capital One is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing and building enterprise-level scalable, low-latency, fault-tolerant streaming data platforms that provide meaningful and timely insights.

You will work with a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

The ideal candidate will have a strong background in big data technologies, including Spark, Flink, Kafka, Snowflake, and AWS Big Data Services. You will also have experience with distributed data computing tools, real-time data and streaming applications, and NoSQL implementation.

As a Data Engineer at Capital One, you will have the opportunity to work on a wide range of projects, from building data pipelines to developing analytics data stores. You will also have the chance to mentor junior team members, share best practices around architecture and design, and troubleshoot production issues.

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.

Responsibilities
  • Design and build enterprise-level scalable, low-latency, fault-tolerant streaming data platforms
  • Work with a team of developers to design, develop, test, implement, and support technical solutions
  • Develop and maintain critical data pipelines using open source tools and in-house frameworks
  • Tease out data insights using visualization tools and make data applications and ecosystem more resilient from cyber and data risks
  • Mentor junior team members, share best practices around architecture and design, and troubleshoot production issues
Requirements
  • Bachelor's Degree
  • At least 3 years of experience in application development
  • At least 1 year of experience in big data technologies
  • 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 (Kafka, Spark, Flink)
  • 2+ year experience working on real-time data and streaming applications
  • 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch)
  • 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

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