Data Engineer 4

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$179,400–$204,700 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $192k
$154k $229k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $161,490–$211,200 — the blue band above. At the midpoint, this role pays about $192k versus about $186k 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 1917 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1045 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer 4

The Data Engineer 4 joins a collaborative team to design, develop, and support technical solutions within a cloud-first environment. This role involves independently building world-class data solutions, architecting common engineering design patterns, and developing scalable data pipelines to ensure operational efficiency. The engineer will collaborate with product managers and software engineers to deliver robust applications while mentoring other community members. Key technologies include Python, Spark, SQL, Java, and Scala, alongside open-source relational and NoSQL databases. The position requires expertise in Databricks, Snowflake, and distributed microservices. The work focuses on solving complex business problems by implementing lakehouse architecture, managing real-time streaming data, and enforcing security standards like encryption at rest and fine-grained access control to ensure regulatory compliance across all data platforms.

What does a Data Engineer earn?

Median $159125 from 199 postings across 61 companies.

See salary data

What you'll do

  • Design, develop, test, and support technical solutions using full-stack development tools and technologies.
  • Build and deliver cloud-first data solutions and applications independently with minimal supervision.
  • Architect and enforce common data engineering design patterns to ensure code quality and reusability.
  • Design and build scalable, resilient data pipelines and platforms to handle increasing data volumes.
  • Implement data security standards including encryption at rest/transit and fine-grained access controls.
  • Utilize Python, Spark, and cloud-based platforms like Databricks and Snowflake to manage data workloads.
  • Communicate technical concepts and data outcomes clearly to internal and external stakeholders.

What we're looking for

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 4 years of experience in application development.
  • At least 2 years of experience in distributed data, SQL, and data pipeline design and development.
  • At least 2 years of experience with one programming language such as Python, Java, or Scala.
  • At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational databases.
  • 7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).
  • 4+ years of experience designing, deploying, and operating data workloads in a public cloud environment (preferred).
  • 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks (preferred).

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