Capital One is seeking Data Engineers to build cutting-edge SaaS products for car dealerships on the Capital One Navigator platform, focusing on designing and maintaining innovative tools that seamlessly onboard dealers, drive significant revenue, and optimize product pricing. The core responsibility is architecting highly available and resilient data pipelines, ensuring real-time, 100% accurate data for the platform, and managing data governance, infrastructure monitoring, and continuous optimization.
Requirements
- At least 3 years of experience in application development (Internship experience does not apply)
- 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)
Responsibilities
- Be a part of team designing and building 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
- Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets
- Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Other
- Bachelor’s Degree
- At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position
- The minimum and maximum full-time annual salaries for this role are listed below, by location.
- This role is also eligible to earn performance based incentive compensation, which may be discretionary or non discretionary depending on the plan.
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
