Data Engineer 4

Capital One Financial

Confirmed live today Trusted

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Employment: Full-time
Posted: 12 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $202k

$187k $230k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $192,050–$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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer 4

Role Posting Log in to save

The Data Engineer 4 (Python/AWS) joins the Risk Tech team to transform risk management into a real-time, intelligent discipline. This role involves designing, building, and delivering world-class cloud data solutions and applications independently. You will collaborate across Agile teams to develop technical solutions, influence developers and data scientists, and architect common data engineering design patterns to ensure code quality and reusability. Key responsibilities include building scalable data pipelines, implementing security standards like encryption and fine-grained access control, and managing data outcomes for stakeholders. You will utilize Python, Spark, SQL, and Scala alongside open-source relational and NoSQL databases. The role requires expertise in cloud-based data warehousing platforms including Databricks and Snowflake to solve complex problems within Risk Management Tech and AML and Compliance Tech.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

Skills

Python SQL Spark AWS Databricks Snowflake Scala Java NoSQL relational database s Airflow Glue EMR Redshift MongoDB Cassandra DynamoDB Splunk Agile

What you'll do

Design, develop, test, and support full-stack technical solutions using Python, Spark, and cloud-based data warehousing.
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.
Implement data security standards including encryption at rest/transit and fine-grained access controls.
Design and model end-to-end data solutions using both relational and non-relational database systems.
Communicate technical concepts and data outcomes clearly to internal and external stakeholders to drive alignment.
Influence teams of developers and data scientists on machine learning, microservices, and lakehouse architectures.

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 databases.
7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).

Save