Capital One
People Tech
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Capital One. Skills: Data Engineering, Java, Scala, Python, SQL, Cloud platforms (AWS, Azure, GCP), Big Data technologies, Data Warehousing, NoSQL databases, Real-time data streaming. design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake”
What You'll Achieve.
drive a major transformation within Capital One; provide robust technical solutions for a diverse portfolio; build the scalable platforms and data driven insights necessary for long term stability and security; drive architectural consistency; strategically evolving to meet the future needs of our associates and the enterprise; deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Industry & Context.
solving complex business problems
Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position
What They're Looking For.
Must Have
Bachelor's Degree, At least 3 years of experience in application development, At least 1 year of experience in big data technologies
Nice to Have
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 (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL), 2+ year experience working on real-time data and streaming applications, 2+ years of experience with NoSQL implementation (Mongo, Cassandra), 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, Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
What You'll Do.
and support technical solutions in full-stack development tools and technologies
utilize programming languages like Java
Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
collaborate with digital product managers
and deliver robust cloud-based solutions that drive powerful experiences
perform unit tests and conduct reviews with other team members
and effectively tune for performance
How You'll Work.
Team & Collaboration
Collaborate with and across Agile teams; Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems; 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 digital product managers; conduct reviews with other team members
Process & Methodology
Agile engineering practices
Full Job Description
Senior Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,[ ](https://www.capitalone.com/diversity/business-resource-groups/)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. People Tech is responsible for the digital transformation and operational excellence of Capital One’s corporate functions. Our core mission is to innovate and transform the Human Experience by providing robust technical solutions for a diverse portfolio, including HR, Legal, Brand, and Global Workplace Services. This mission is powered by our Engineering, Data, and Enablement Towers, which build the scalable platforms and data driven insights necessary for long term stability and security. To ensure we move with purpose, our team connects the dots across the organization, driving architectural consistency and fostering an environment of experimentation. Together, we ensure that People Tech is not just executing tasks, but strategically evolving to meet the future needs of our associates and the enterprise. ****What You’ll Do:**** * 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 * Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for staying on top of
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