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 implement common design patterns to ensure code maintainability. Day-to-day work involves building scalable platforms that deliver hyper-personalized, omnichannel messages across owned and paid Adtech channels. The technical stack includes Python, SQL, Scala, Spark, NoSQL databases, Snowflake, Databricks, and interactive AI tools like Claude Code or GitHub Copilot. This role solves complex business problems by integrating data with emerging technologies to enhance customer experiences through sophisticated marketing technology infrastructure.

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 tools 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 and peer code reviews to optimize system performance and observability.
  • Use interactive AI tooling like GitHub Copilot to accelerate software delivery.
  • Communicate technical concepts and data outcomes to both technical and non-technical 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 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 data warehousing (preferred).

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