Data Engineer V

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Wilmington, DE
Salary: $209,000–$238,500 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $224k

$123k most similar roles pay here $251k

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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer V

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As a Data Engineer 5, you will join an agile 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, and developing scalable pipelines to ensure performance under high 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. 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 data with emerging technologies to create high-quality products. The core of your work involves managing distributed microservices, lakehouse architecture, and real-time streaming pipelines to drive technical innovation across the organization's data platforms.

What does a Data Engineer earn?

Median $162000 from 190 postings across 57 companies.

See salary data

Skills

Python SQL Spark Databricks Snowflake Java Scala AWS Azure NoSQL relational database s Data Pipelines Airflow Dagster Splunk Monte Carlo EMR Glue Redshift Agile

What you'll do

Design, develop, test, and implement full-stack technical solutions using Python, Spark, and cloud-based data platforms.
Build scalable, resilient, and high-performing data pipelines to handle increasing volumes of business data.
Architect and enforce common data engineering design patterns to ensure code quality and reusability across platforms.
Lead large-scale data initiatives by making critical architectural decisions and evaluating platform choices like Snowflake or Databricks.
Develop robust cloud-first data solutions in collaboration with product managers and software engineers.
Mentor junior engineers and peers while serving as a technical ambassador to communicate complex concepts to stakeholders.
Manage end-to-end data modeling and the design of both relational and non-relational database systems.

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).
9+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).

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