Senior Data Engineer
Capital OneAbout the role
Do 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.
As a data engineer for the Sales Data Engineering and Analytics team, you will get to work on the most cutting-edge Fintech products that Capital One is building for its customers. You will be working on creating One Stream data pipelines for real time consumptions as well as building reports in Tableau, Thoughtspot, and other tools to provide insights to stakeholders which includes multiple VPs and Directors. This team uses ML algorithms, AI solutions and automated chatbots. If you are passionate about innovation in both engineering and analytics, come join our team!
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
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management l
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