Capital One

Financial Services

LeadDataEngineer

$197–225k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Data Engineer at Capital One. Skills: Data Engineering, Cloud Computing (AWS), Big Data Technologies (Spark, Kafka), Programming Languages (Python, Java, Scala), Databases (RDBMS, NoSQL, Redshift, Snowflake). design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. develop sophisticated tools that depersonalize data”

What You'll Achieve.

build a cutting-edge self-service data platform that enables advanced analytics that power real-world financial applications; unlocking the power of enterprise-scale analytics; directly support the future of data-driven decision-making

Industry & Context.

Financial Services
Problems you'll solve

solving complex business problems

Eligibility Requirements

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

develop sophisticated tools that depersonalize data

build both intuitive user interfaces and robust APIs

launching this platform and shaping its continuous evolution through innovative feature enhancements

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; Collaborate with digital product managers

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. Join a dynamic new team within our Card Data division focused on building a cutting-edge self-service data platform that enables advanced analytics that power real-world financial applications. You will work with a modern tech stack including AWS, Spark, and Python to develop sophisticated tools that depersonalize data, ensuring critical regulatory compliance while unlocking the power of enterprise-scale analytics. This is a unique opportunity to contribute to a full-stack environment where you will build both intuitive user interfaces and robust APIs that directly support the future of data-driven decision-making. By joining now, you will play a pivotal role in launching this platform and shaping its continuous evolution through innovative feature enhancements. ****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

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