Data Engineer 4, Intelligent Foundations and Experiences

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Employment: Full-time
Posted: 29 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $194k

$172k $231k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,537–$211,200.

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.

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At a glance

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

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JOB TITLE: Data Engineer 4 - Intelligent Foundations and Experiences (IFX) The Data Engineer 4 - Intelligent Foundations and Experiences (IFX) joins a collaborative team to design, develop, and support technical solutions within a cloud-first environment. This role involves independently architecting and delivering robust data pipelines and applications that ensure scalability, resilience, and operational efficiency. You will work across Agile teams to influence developers and data scientists while enforcing common engineering design patterns to maintain code quality. Key responsibilities include implementing data security standards and managing end-to-end data solutions. The position requires proficiency in Python, Spark, SQL, Java, or Scala, alongside experience with Databricks, Snowflake, and NoSQL databases like MongoDB or Cassandra. You will solve complex business problems by building distributed microservices and lakehouse architectures to drive powerful user experiences.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

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Skills

Python SQL Spark Databricks Snowflake Scala Java AWS Microsoft Azure Google Cloud Airflow MongoDB Cassandra DynamoDB Redshift EMR Glue Splunk Agile

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.
Utilize Python, Spark, Databricks, and Snowflake to manage relational and NoSQL databases.
Implement data security standards including encryption at rest/transit and fine-grained access controls.
Independently design and deliver world-class cloud data solutions with minimal supervision.
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.
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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