Data Engineer 4, Risk Tech

Capital One Financial

Confirmed live today Trusted

Quick summary

Work type: On-site
Location: Richmond, VANew York, NYMcLean, VA
Salary: $197,300–$225,100 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $211k

$140k $234k

below market most similar roles pay here above market

This role pays more than 78% of similar roles. Most pay $149,287–$211,200 — the blue band above. At the midpoint, this role pays about $211k versus about $180k 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, Risk Tech

Role Posting Log in to save

The Data Engineer 4 (Manager IC) Risk Tech joins the Risk Tech team to build and deploy proprietary risk management solutions powered by state-of-the-art AI technology. Working with the GRC team, you will design, develop, and support full-stack technical solutions, including scalable data pipelines and cloud-first data applications. You will architect common data engineering design patterns to ensure code quality and maintainability while enforcing data security standards like encryption and fine-grained access control. The role requires proficiency in Python, Spark, SQL, and Scala, alongside experience with Databricks, Snowflake, and NoSQL databases. You will solve complex business problems by creating data-driven tools that use machine learning to prevent risks and automatically detect issues before they impact customers or the broader business.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

Skills

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

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Influence a team of developers and data scientists with expertise in machine learning and lakehouse architecture.
Utilize Python, Spark, and cloud-based data warehousing platforms like Databricks and Snowflake to build data solutions.
Architect and enforce common data engineering design patterns to ensure code quality and maintainability across pipelines.
Design and build scalable, resilient data pipelines to handle increasing data volumes and business demands.
Implement data security standards including encryption and fine-grained access control to ensure regulatory compliance.
Communicate 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 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational databases.
At least 2 years of experience with one programming language such as Python, Java, or Scala.
7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).
4+ years of experience designing, deploying, and operating data workloads in a public cloud environment (preferred).
4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks (preferred).