Senior Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $229,900–$262,400 / 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 $181k

This role $246k

$132k most similar roles pay here $276k

This role pays more than 95% of similar roles. Most pay $146,037–$216,000 — the shaded band above. At the midpoint, this role pays about $246k versus about $181k 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 680 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 674 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Data Engineer

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As a Senior Lead Data Engineer at COPSSC, you will join a dynamic team focused on advancing data infrastructure and analytics capabilities. Your primary responsibilities include designing and implementing scalable data solutions using AWS, Snowflake, and Databricks, while also leveraging AI-assisted coding tools to enhance productivity. You will work closely with cross-functional teams to build robust data pipelines, automate data processing tasks, and ensure seamless integration of new data sources. The role requires expertise in Python and a deep understanding of cloud-based data engineering practices. This position is ideal for someone passionate about solving complex business problems through innovative data solutions at scale within the fast-growing tech industry.

Skills

AWS Python Snowflake Databricks AI-Assisted Coding Tools CI/CD

What you'll do

Design and implement large-scale data processing systems using AWS services.
Optimize data pipelines for efficiency and scalability on Snowflake and Databricks.
Develop ETL processes to integrate diverse data sources into a unified platform.
Utilize Python for scripting complex data transformations and automations.
Mentor junior engineers in best practices for cloud-based data engineering.

What we're looking for

Bachelor’s Degree required.
Extensive experience with AWS services and Python programming.
Proficiency in Snowflake and Databricks for data engineering tasks.
Experience using AI-assisted coding tools to enhance productivity.
Master's Degree preferred but not mandatory.

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