Data Engineer IV

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYMcLean, VARichmond, VA
Salary
$197,300–$225,100 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $211k
$187k most similar roles pay here $230k

This role pays more than 87% of similar roles. Most pay $192,050–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $202k 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 1384 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 685 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer IV

Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) joins the Marketing and Messaging engineering group to drive a major technical transformation. This role involves designing, developing, and deploying resilient, cloud-first data solutions, lakehouse architectures, and real-time streaming pipelines while ensuring high standards for data quality, governance, and security. The engineer will lead cross-functional Agile teams, mentor others, and collaborate with product managers to build scalable platforms for hyper-personalized, omnichannel messages across Adtech channels. The technical stack includes Python, SQL, Scala, Spark, NoSQL databases, and cloud platforms like Databricks and Snowflake. Additionally, the role utilizes tools such as Kafka, Airflow, and interactive AI tools like Claude Code or GitHub Copilot. The work focuses on solving complex business problems by integrating data with emerging technologies to enhance customer experiences through robust, high-performance systems.

What does a Data Engineer earn in Virginia?

Median $139656 from 57 postings across 6 companies.

See salary data

What you'll do

  • Design, develop, and deploy resilient, cloud-first data solutions and lakehouse architectures.
  • Build real-time streaming data pipelines using technologies like Kafka and Spark.
  • Implement data security standards including encryption and fine-grained access control.
  • Enforce common data engineering design patterns to ensure code quality and maintainability.
  • Manage data modeling for both relational and non-relational database systems.
  • Perform unit tests, peer code reviews, and optimize systems for performance and observability.
  • Lead and influence cross-functional teams while communicating technical concepts to non-technical stakeholders.
  • Utilize interactive AI tooling to accelerate software delivery and development workflows.

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 solutions using relational and non-relational systems.
  • Master’s Degree in Computer Science, Data Engineering, Information Systems, or a related technical field (preferred).
  • 7+ years of experience in application development using Python, SQL, Spark, Scala, or Java (preferred).
  • 4+ years of experience with cloud platforms, distributed data workloads, real-time streaming, and NoSQL implementations (preferred).

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