Data Engineer V

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Richmond, VA
Salary
$209,000–$238,500 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $224k
$116k most similar roles pay here $252k

This role pays more than 80% of similar roles. Most pay $129,145–$221,500 — the shaded band above. At the midpoint, this role pays about $224k versus about $175k 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 936 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer V

As a Data Engineer 5, you will join a collaborative team to design, develop, 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, and developing scalable pipelines that ensure high performance under increasing volume. 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. To succeed, you must be proficient in Python, Spark, SQL, Java, or Scala while working with open-source relational and NoSQL databases. You will also utilize tools such as EMR, Glue, Airflow, or Dagster to manage distributed workloads. This role focuses on solving complex business problems by delivering high-quality data products within a cloud-based infrastructure to drive meaningful user experiences.

What does a Data Engineer earn in Virginia?

Median $155450 from 59 postings across 6 companies.

See salary data

What you'll do

  • Design, develop, test, and support full-stack technical solutions using Python, Spark, and cloud platforms like Databricks or Snowflake.
  • Architect and enforce common data engineering design patterns to ensure code quality and reusability across pipelines.
  • Build scalable, resilient data pipelines and platforms capable of handling high volumes of data efficiently.
  • Lead large-scale data initiatives by making critical architectural decisions and evaluating platform choices based on business needs.
  • Develop robust cloud-first data solutions in collaboration with product managers and software engineers.
  • Mentor junior engineers and peers to elevate the technical skills of the broader data community.
  • Communicate complex technical concepts and data outcomes clearly to both internal and external stakeholders.

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/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).
  • 5+ years of experience with cloud platforms, distributed workloads, real-time pipelines, NoSQL, or data warehousing (preferred).

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