Data Engineer V

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / yr
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 $186k

This role $246k

$120k most similar roles pay here $278k

This role pays more than 88% of similar roles. Most pay $135,218–$237,640 — the shaded band above. At the midpoint, this role pays about $246k versus about $186k 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 V

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Data Engineer 5 (SEO/GEO, AdTech ) joins the Marketing and Messaging team to build scalable platforms delivering omnichannel messages across owned and paid Adtech channels. This role involves designing, developing, and supporting technical solutions in a full-stack environment while influencing teams of developers, data scientists, and analysts. The engineer will architect and enforce common design patterns for data pipelines and platforms, ensuring scalability and reliability under high volume. Key responsibilities include leading large-scale initiatives, making architectural decisions regarding tools like Snowflake or Databricks, and mentoring peers. The role requires proficiency in Python, Spark, SQL, Java, or Scala, along with experience in distributed microservices, lakehouse architecture, and NoSQL databases. The work focuses on creating robust cloud-first data solutions to power hyper-personalized experiences within the advertising technology and marketing domain.

What does a Data Engineer earn in Virginia?

Median $160500 from 60 postings across 6 companies.

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Skills

Python SQL Spark Scala Java Databricks Snowflake AWS Azure NoSQL relational database s Airflow Dagster Redshift EMR Glue Monte Carlo Splunk Agile

What you'll do

Design, develop, and support full-stack technical solutions using Python, Spark, and cloud-based data platforms like Databricks or Snowflake.
Build scalable, resilient data pipelines and platforms to handle high volumes of data for omnichannel marketing messages.
Architect and enforce common data engineering design patterns to ensure code quality and reusability across all platforms.
Lead large-scale data initiatives by making critical architectural decisions and evaluating platform choices based on business requirements.
Develop robust cloud-first data solutions in collaboration with product managers and software engineers.
Mentor junior engineers and provide technical leadership to a team of developers, analysts, and scientists.
Communicate complex technical concepts and data outcomes clearly to both internal and external stakeholders.

What we're looking for

Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 6 years of experience in application development.
At least 4 years of experience in distributed data.
At least 4 years of experience with SQL.
At least 4 years of experience programming with Python, Java, or Scala.
At least 4 years of experience designing and developing data pipelines.
At least 2 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational systems.
Master's Degree in Computer Science or a related field (preferred); 8+ years of experience in data engineering (preferred).

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