Capital One
LeadDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Engineer at Capital One. Skills: Data Engineering, Cloud Computing, Big Data Technologies, Programming Languages (Java, Scala, Python), Databases (RDBMS, NoSQL, Data Warehousing). 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”
What You'll Achieve.
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 4 years of experience in application development, At least 2 years of experience in big data technologies, At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Nice to Have
7+ years of experience in application development including Python, SQL, Scala, or Java, 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud), 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL), 4+ year experience working on real-time data and streaming applications, 4+ years of experience with NoSQL implementation (Mongo, Cassandra), 4+ years of data warehousing experience (Redshift or Snowflake), 4+ 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
work with a team of developers with deep experience in machine learning
distributed microservices
and full stack systems
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 to make sure your code is rigorously designed
and effectively tuned 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
Process & Methodology
Agile teams, iterative delivery environment
Full Job Description
Lead 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 Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. ** ****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 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, 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 2 years of experience in big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google
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