Data Engineer IV, Risk Tech

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
McLean, VARichmond, VA
Salary
$197,300–$225,100 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $211k
$129k most similar roles pay here $235k

This role pays more than 82% of similar roles. Most pay $140,000–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $176k 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 836 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 829 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer IV, Risk Tech

Data Engineer 4 (Risk Tech) joins the Risk Tech team to build and deploy proprietary risk management solutions powered by state-of-the-art AI technology. Working within an Agile environment, you will collaborate with GRC teams and partners to design, develop, test, and support technical solutions using full-stack development tools. You will architect and enforce data engineering design patterns for scalable pipelines while ensuring high code quality and security standards like encryption and access control. The role involves building data-driven tools that utilize machine learning to detect issues before they impact customers. Key technologies include Python, Spark, SQL, Scala, and Java, alongside open-source relational and NoSQL databases. You will also work with cloud-based platforms such as Databricks and Snowflake, while managing complex workloads involving lakehouse architecture, distributed microservices, and advanced data orchestration tools like Airflow or Dagster.

What does a Data Engineer earn in Virginia?

Median $160500 from 60 postings across 6 companies.

See salary data

What you'll do

  • Design, develop, test, and support full-stack technical solutions using Python, Spark, and cloud platforms like Databricks or Snowflake.
  • Build and deploy scalable data pipelines and infrastructure to ensure high performance under increasing volume.
  • Architect and enforce common data engineering design patterns to ensure code quality and maintainability across all platforms.
  • Implement robust data security standards including encryption and fine-grained access control to ensure regulatory compliance.
  • Develop proprietary risk management solutions powered by state-of-the-art AI and machine learning technologies.
  • Create infrastructure for LLM integrations, including vector search solutions and automated feature extraction for generative AI workflows.
  • Communicate complex technical concepts and data outcomes clearly 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, 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 databases.
  • 7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).
  • 4+ years of experience in cloud environments, distributed workloads, real-time pipelines, NoSQL, or data warehousing (preferred).
  • Experience with data observability, orchestration, vector embeddings, LLM integrations, or Generative AI workflows (preferred).

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