Senior Data Engineer
Description For Senior Data Engineer
Capital One is seeking a Senior Data Engineer to join their team in building and pioneering innovative technology solutions. This role focuses on designing and implementing enterprise-level data platforms and pipelines using cutting-edge technologies. As a Senior Data Engineer, you'll work with distributed streaming frameworks, big data technologies, and cloud platforms to deliver scalable solutions that provide meaningful insights. The position offers competitive compensation ($144,200 - $164,600) and comprehensive benefits. You'll be part of an agile team that values collaboration, innovation, and technical excellence. The role requires expertise in data engineering, distributed systems, and modern development practices, making it an excellent opportunity for experienced engineers looking to impact financial technology at scale. Capital One's commitment to transformation and technical innovation makes this an exciting opportunity for those passionate about data engineering and emerging technologies.
Responsibilities For Senior Data Engineer
- Design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platform
- Build next generation Distributed Streaming Data Pipelines using frameworks like Flink and Spark Streaming
- Develop data pipelines using big data technologies on medium to large scale datasets
- Work in agile environment with focus on CI/CD and Application Resiliency Standards
- Collaborate with teams to design, develop, test, and implement technical solutions
- Perform unit tests and conduct code reviews
- Work with machine learning, distributed microservices, and full stack systems
Requirements For Senior Data Engineer
- Bachelor's Degree
- At least 3 years of experience in application development
- At least 1 year of experience in big data technologies
- Experience with Python, SQL, Scala, or Java preferred
- Experience with public cloud (AWS, Microsoft Azure, Google Cloud) preferred
- Experience with Distributed data computing tools (Kafka, Spark, Flink)
- Experience with UNIX/Linux including basic commands and shell scripting
- Experience with Agile engineering practices
Benefits For Senior Data Engineer
- Comprehensive health benefits
- Financial benefits
- Work-life balance programs
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