Capital One Senior Data Engineer Python SQL AWS - Dealer Tech 

United States, Virginia, Arlington 

191696836

Center 1 (19052), United States of America, McLean, Virginia Senior Data Engineer (Python, SQL, AWS)- Dealer Tech

What You’ll Do:

• 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

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

• Bachelor’s Degree

• At least 3 years of experience in application development (Internship experience does not apply)

• 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

• 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

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.