Capital One Senior Data Engineer 

United States, Texas, Plano 

197564451

Plano 7 (31067), United States of America, Plano, Texas Senior Data Engineer

In this role, you will be working with the Data Science team and the Enterprise platform team to develop loss forecasting models and deploy on AWS EMR or ECS that enable all data engineers to expose and deliver deep data insights for our product, operations, and business teams to accurately forecast losses. You will be working closely with your peers to build and maintain critical data transform frameworks. Utilizing open source tools and inhouse frameworks, as well as make our data applications and ecosystem more resilient from cyber and data risks. This role will allow you to showcase your technical leadership skills within and outside of the team, plus lead initiatives coming in from different stakeholders (Product, Business, Tech & Cyber). You will also have the opportunity to mentor junior team members, share best practices around architecture and design, and troubleshoot production issues.

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

• 1+ years of experience with Docker containers or Kubernetes

. 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.