Data Engineer 4, Cloud Operations Resilience Engineering

Capital One Financial

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Quick summary

Work type: On-site
Location: Plano, TXMcLean, VARichmond, VANew York, NYRiverwoods, IL
Salary: $197,300–$225,100 / yr
Employment: Full-time
Posted: 2 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 $202k

This role $211k

$187k $230k

below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $192,050–$211,200 — the blue 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 2164 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1129 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer 4, Cloud Operations Resilience Engineering

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The Data Engineer 4 (Cloud Operations Resilience Engineering) (MEG) joins a collaborative team to design, develop, and support full-stack technical solutions. This role involves independently building world-class cloud data solutions, architecting common engineering design patterns, and developing scalable data pipelines to ensure operational efficiency and resilience. The engineer will work with Agile teams to implement data security standards, including encryption and access control, while mentoring others in the data community. Key technologies include Python, Spark, SQL, Java, and Scala, alongside open-source relational and NoSQL databases. The role utilizes cloud-based data warehousing platforms such as Databricks and Snowflake. The work focuses on solving complex business problems by delivering robust cloud-first data solutions and managing distributed data workloads within a lakehouse architecture.

What does a Data Engineer earn in Virginia?

Median $159954 from 69 postings across 9 companies.

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Skills

Python SQL Spark Scala Java Databricks Snowflake AWS Azure Google Cloud Airflow MongoDB Cassandra DynamoDB Redshift EMR Glue Splunk Agile

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deliver cloud-first data solutions and applications independently with minimal supervision.
Architect and enforce common data engineering design patterns to ensure code quality and reusability.
Design and build scalable, resilient data pipelines and platforms to handle increasing data volumes.
Implement data security standards including encryption at rest/transit and fine-grained access controls.
Utilize Python, Spark, and cloud-based data warehousing platforms like Databricks and Snowflake.
Communicate technical concepts and data outcomes clearly to internal and external 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.
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).

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