Data Engineer V, Enterprise Platforms Technology

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
New York, NYSan Francisco, CAMcLean, VARichmond, VA
Salary
$229,900–$262,400 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $246k
$113k most similar roles pay here $278k

This role pays more than 93% of similar roles. Most pay $128,825–$216,000 — the shaded band above. At the midpoint, this role pays about $246k versus about $172k 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, Enterprise Platforms Technology

Data Engineer 5 (Enterprise Platforms Technology) joins the Enterprise Platforms Technology team to design, develop, and support technical solutions within a full-stack development environment. This role involves collaborating with Agile teams to build robust cloud-first data solutions, architecting common engineering design patterns for code quality, and managing large-scale transformative initiatives. The individual will independently deliver scalable data pipelines and platforms while mentoring peers and influencing a team of developers, analysts, and scientists. Key technical requirements include proficiency in Python, Spark, SQL, Java, or Scala, alongside experience with open-source relational and NoSQL databases. The role specifically utilizes Databricks, Snowflake, and cloud-based warehousing platforms to solve complex business problems involving distributed microservices, lakehouse architecture, and high-volume data processing. The work focuses on creating resilient infrastructure to support large-scale data systems and ensure operational efficiency across the enterprise.

What does a Data Engineer earn in California?

Median $193550 from 38 postings across 18 companies.

See salary data

What you'll do

  • Design, develop, test, and support full-stack technical solutions using Python, Spark, and cloud-based data platforms like Databricks or Snowflake.
  • Build and deliver scalable, resilient, and high-performing data pipelines to handle increasing volumes of business data.
  • Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across all platforms.
  • Lead large-scale data initiatives by making critical architectural decisions and evaluating platform choices based on technical requirements.
  • Develop robust cloud-first data solutions in collaboration with product managers and software engineers.
  • Mentor junior engineers and peers while serving as a technical ambassador to communicate complex concepts to stakeholders.
  • Manage end-to-end data modeling and the design of systems using both relational and NoSQL databases.

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

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