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Senior Data Engineer - Wichita Falls Texas
Company: Capital One
Location: Wichita Falls, Texas
Posted On: 11/20/2024
Plano 7 (31067), United States of America, Plano, TexasSenior Data EngineerDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. - We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. -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 performanceBasic 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: -
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