Data Engineer 4, Intelligent Foundations and Experiences

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VA
Salary: $197,300–$225,100 / yr
Employment: Full-time
Posted: 21 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 $194k

This role $211k

$170k $231k

below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $176,337–$211,200 — the blue band above. At the midpoint, this role pays about $211k versus about $194k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer 4, Intelligent Foundations and Experiences

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The Data Engineer 4 - Intelligent Foundations and Experiences (IFX) joins a collaborative team to design, develop, and support technical solutions within a full-stack development environment. This role involves independently architecting and delivering cloud-first data solutions, building scalable data pipelines, and enforcing common engineering design patterns to ensure code maintainability. The engineer will work with product managers and software engineers to solve complex business problems by delivering robust data products. Key technologies include Python, Spark, SQL, and Scala, alongside open-source relational and NoSQL databases. The role also utilizes cloud-based data warehousing platforms such as Databricks and Snowflake. Core responsibilities include implementing data security standards, managing distributed microservices, and supporting lakehouse architecture to drive powerful experiences and ensure operational efficiency under increasing data volume.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

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Skills

Python SQL Spark Scala Java Databricks Snowflake AWS Azure Google Cloud NoSQL MongoDB Cassandra DynamoDB Redshift Airflow Dagster EMR Glue Agile Data Modeling Machine Learning Lakehouse Architecture

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deliver scalable, resilient, and operationally efficient cloud data pipelines and platforms.
Architect and enforce common data engineering design patterns to ensure code quality and reusability.
Implement data security standards including encryption at rest/transit and fine-grained access controls.
Develop cloud-first data solutions using Python, Spark, Databricks, and Snowflake.
Model and design end-to-end data solutions using relational and non-relational database systems.
Communicate technical concepts and data outcomes to internal and external stakeholders to drive alignment.

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.
At least 2 years of experience with SQL.
At least 2 years of experience with one programming language such as Python, Java, or Scala.
At least 2 years of experience in data pipeline design and development.
At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems.
7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).

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