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Data Engineering Lead

1 week ago


Plano, Texas, United States Capital One Full time
About the Role

We are seeking an experienced Data Engineer to join our team. The ideal candidate will have a strong background in building scalable, low-latency, fault-tolerant streaming data platforms and experience with distributed computing tools such as Kafka, Spark, and Flink.

This role offers an opportunity to work with central data platforms that enable all data engineers to expose and deliver deep data insights for our product, operations, and business teams, to increase digital engagement with our customers and enable our business strategy.

Key Responsibilities:

  • Design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights
  • Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python
  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

Required Skills and Qualifications

  • Bachelor's Degree
  • At least 3 years of experience in application development
  • At least 1 year of experience in big data technologies

Preferred Qualifications

  • 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