Capital One Senior Data Engineer 

United States, Texas, Plano 

414904087

On this team, you will be working with other Data Engineers to build new or enhance existing data pipelines for decisioning systems, leveraging inhouse data frameworks, running validation tests, and communicating with the business POC on status of requests. You will also be working on building and enhancing data quality frameworks, tools for remediating and finding sensitive data on long term data stores, use MLaaS to monitor anomalies in record counts, visualization tools to provide data insights for critical business decisions.

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 4 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