This role pays more than
80%
of similar roles. Most pay
$135,675–$223,750
— the shaded band above.
At the midpoint, this role pays about
$224k
versus about
$180k
for comparable roles.
Based on 240 similar postings.
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
1554 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 796 roles with salary data.
As a Data Engineer 5, you will join a collaborative team to design, develop, test, and support technical solutions within a full-stack development environment. You will be responsible for building robust cloud-first data solutions, architecting common engineering design patterns to ensure code quality, and developing scalable data pipelines and platforms. The role involves leading large-scale initiatives, making critical architectural decisions regarding platform choices like Snowflake or Databricks, and mentoring peers in the data community. You will work with Python, Spark, SQL, Java, or Scala while utilizing open-source relational and NoSQL databases. Your work focuses on solving complex business problems by integrating machine learning, distributed microservices, and lakehouse architecture to create high-performing systems. The role addresses the challenge of managing large volumes of data to provide reliable outcomes for customers seeking financial empowerment.
What does a Data Engineer earn in Virginia?
Median $155450 from 57 postings across 7 companies.
Design, develop, test, and implement full-stack technical solutions using Python, Spark, and cloud-based data platforms like Databricks or Snowflake.
Build and manage scalable, resilient data pipelines and architectures to handle increasing volumes of data and business demands.
Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across all platforms.
Lead large-scale, transformative data initiatives by making critical architectural decisions and evaluating platform choices based on technical requirements.
Mentor junior engineers and peers while serving as a force-multiplier for the team's technical capabilities.
Communicate complex technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment.
Develop robust cloud-first data solutions in collaboration with product managers and software engineers to improve customer experiences.
What we're looking for
Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 6 years of experience in application development.
At least 4 years of experience in distributed data, SQL, and designing and developing data pipelines.
At least 4 years of experience programming with Python, Java, or Scala.
At least 2 years of experience in data modeling and designing end-to-end solutions using relational and non-relational databases.
Master’s Degree in Computer Science or a related field (preferred).
8+ years of experience in data engineering (preferred).
9+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).