Data Engineering Leader for Scalable Streaming Platforms

9 hours ago


Plano, Texas, United States Capital One Full time
Data Engineer for Enterprise-Level Data Platforms

Capital One is seeking a seasoned data engineer to lead the design and development of scalable, low-latency, fault-tolerant streaming data platforms that drive business insights.

About the Role:
  • We are looking for an experienced professional with a strong background in big data technologies, including Spark, Flink, Kafka, and Snowflake.
  • The ideal candidate will have a proven track record of designing and building enterprise-level data pipelines using distributed computing tools.
Key Responsibilities:
  1. Design and Develop Streaming Data Pipelines: Collaborate with agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
  2. Build Big Data Technologies: Develop the next generation of big data technologies on medium to large scale datasets using Spark, Flink, Kafka, Snowflake, AWS Big Data Services, and Redshift.
  3. Mentor Team Members: Mentor junior team members and share best practices around architecture and design.
About You:
  • 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)
Salary Range:

$80,000 - $110,000 per year

Benefits:

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at Capital One Careers website.



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