Lead Data Engineer (Enterprise Platforms Technology)

Capital One Financial

Quick summary

Work type: On-site
Location: Plano, TXMcLean, VA
Salary: $197,300–$225,100 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k

This role $211k

$144k most similar roles pay here $234k

This role pays more than 76% of similar roles. Most pay $154,900–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $183k 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 778 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 773 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer (Enterprise Platforms Technology)

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As a Lead Data Engineer at Enterprise Platforms Technology, you will join a dynamic team responsible for architecting and implementing scalable data solutions. Your primary focus will be on designing and optimizing data warehouses using technologies like Redshift, Databricks, or Snowflake to support complex enterprise analytics needs. Day-to-day responsibilities include building robust ETL pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver high-impact business insights. You should have a strong background in data warehousing and experience working with large-scale datasets. Additionally, proficiency in SQL, Python, or similar scripting languages is essential for automating processes and enhancing data governance practices within the organization.

Skills

Redshift Databricks Snowflake Python SQL CI/CD

What you'll do

Design and optimize data warehousing solutions using Redshift, Databricks, or Snowflake.
Develop ETL processes to integrate diverse data sources efficiently.
Ensure data quality and integrity through rigorous testing and validation.
Implement scalable data architectures to support enterprise-level analytics.
Mentor junior engineers and provide technical guidance on best practices.

What we're looking for

Bachelor’s Degree required.
4+ years of data warehousing experience with Redshift, Databricks, or Snowflake.
Strong expertise in enterprise data platforms and technologies.
Proven track record in leading complex data engineering projects.
Experience working in a professional services environment preferred.

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