Data Engineer V

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
McLean, VARichmond, VAChicago, ILNew York, NY
Salary
$209,000–$238,500 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $224k
$117k most similar roles pay here $252k

This role pays more than 82% of similar roles. Most pay $129,575–$211,200 — the shaded band above. At the midpoint, this role pays about $224k versus about $170k 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 836 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 829 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, test, and support technical solutions within an Agile environment. You will be responsible for building robust cloud-first data solutions, architecting common engineering design patterns, and developing scalable pipelines that ensure performance under high volume. The role involves leading large-scale initiatives, making critical architectural decisions regarding platform choices, and mentoring peers while serving as a technical ambassador to stakeholders. You will work with distributed microservices, lakehouse architecture, and full-stack systems. Key technologies include Python, Spark, SQL, Java, and Scala, alongside open-source relational and NoSQL databases. You will also utilize cloud-based data warehousing platforms such as Databricks and Snowflake to solve complex business problems and deliver high-quality data products within the financial services domain.

What does a Data Engineer earn in Virginia?

Median $160500 from 60 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-based data platforms.
  • Build scalable, resilient data pipelines and architectures to handle high volumes of data efficiently.
  • Architect and enforce common data engineering design patterns to ensure code quality and reusability.
  • Lead large-scale data initiatives by making critical architectural decisions and evaluating platform technologies like Snowflake or Databricks.
  • Mentor junior engineers and provide technical guidance to data scientists, analysts, and other developers.
  • Communicate complex technical concepts and data outcomes clearly to both internal and external stakeholders.
  • Develop robust cloud-first data solutions in collaboration with product managers and software engineers.

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.
  • At least 4 years of experience with SQL.
  • At least 4 years of experience programming with Python, Java, or Scala.
  • At least 4 years of experience designing and developing data pipelines.
  • 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).

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