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# Lead Data Engineer-IC

- **Company:** Capital One Financial Corporation
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $197,300.0 - $225,100.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, Big Data, Cloud Computing, Data Warehousing, Distributed Data Store, Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, Scala (Programming Language), Scaled Agile Framework, Shell Script, Software Engineering, SQL Databases, Data Streaming, Google Cloud, Snowflake, Apache Spark, Electronic Medical Records, Cassandra, Real Time Data, Apache Kafka, Tools for Reporting, Data Pipelines, Programming Languages, Microservices
- **Published:** September 19, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3396998385&tx=FJ7572FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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 Cloud)

Preferred Qualifications:

 * 7+ years of experience with data pipelines 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 (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, 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

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

## Description

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, 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.

In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.

In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.

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


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