Data Engineer IV

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VARiverwoods, IL
Salary
$197,300–$225,100 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $211k
$172k most similar roles pay here $231k

This role pays more than 83% of similar roles. Most pay $177,900–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $195k 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 936 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Engineer IV

Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) joins the Marketing and Messaging team to build scalable platforms for delivering hyper-personalized 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 implement robust cloud-first data pipelines, ensuring scalability, resilience, and security standards like encryption and fine-grained access control. Key responsibilities include establishing common engineering design patterns to ensure code quality and reusability across platforms. The role requires proficiency in Python, Spark, SQL, and Scala, along with experience in distributed systems, lakehouse architecture, and NoSQL databases. Technical tools include AWS, Databricks, Snowflake, and orchestration tools like Airflow or Dagster to solve complex problems within the marketing technology domain.

What does a Data Engineer earn in Virginia?

Median $155450 from 59 postings across 6 companies.

See salary data

What you'll do

  • Design, develop, and support technical solutions using full-stack development tools and technologies.
  • Build scalable data pipelines and platforms focused on resilience and operational efficiency.
  • Architect and enforce common data engineering design patterns to ensure code quality and reusability.
  • Develop cloud-first data solutions using Python, Spark, Databricks, and Snowflake.
  • Implement data security standards including encryption and fine-grained access control for compliance.
  • Communicate technical concepts and data outcomes clearly to internal and external stakeholders.
  • Mentor other members of the data community and stay current on emerging technologies.

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 (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 both relational and non-relational database systems.
  • Experience with Python, SQL, Spark, cloud platforms (AWS, Azure, or GCP), and tools like Databricks or Snowflake (preferred).

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