Capital One
Financial Services
LeadDataEngineer(EnterprisePlatformsTechnology)
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Engineer (Enterprise Platforms Technology) at Capital One. Skills: Data Engineering, Java, Python, AWS. Design, develop, test, implement, and support technical solutions. Work with developers”
What You'll Achieve.
Deliver hyper-personalized messages and experiences; Delight the customer; Attract prospects; Drive increasing business value; Build scalable platforms; Deliver omnichannel messages; Drive powerful experiences; Help millions of Americans achieve financial empowerment
Industry & Context.
Solving complex business problems
No sponsorship for employment authorization, No immigration related support
What They're Looking For.
Must Have
Bachelor's Degree, 4 years of experience in application development, 2 years of experience in big data technologies, 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Nice to Have
1+ years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot), 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 of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL), 4+ years of 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, 4+ years of experience with data modeling for data warehousing, 2+ years of experience with Agile engineering practices
What You'll Do.
and support technical solutions
Utilize programming languages
Share passion for staying on top of tech trends
Experiment with and learn new technologies
Participate in technology communities
Mentor other members of the engineering community
Collaborate with digital product managers
Deliver robust cloud-based solutions
Conduct reviews with team members
How You'll Work.
Team & Collaboration
Collaborate with and across Agile teams; Work with a team of developers; Collaborate with digital product managers; Reviews with other team members
Process & Methodology
Agile teams, Iterative delivery environment
Full Job Description
Lead Data Engineer (Enterprise Platforms Technology) ( Java, Python, Scala, AWS) 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices **Team:** The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. **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 com
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