Lead Software Engineer, Full Stack

Capital One Financial

Quick summary

Work type: On-site
Location: Plano, TXMcLean, VARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k

This role $211k

$174k most similar roles pay here $231k

This role pays more than 69% of similar roles. Most pay $179,537–$223,750 — the shaded band above. At the midpoint, this role pays about $211k versus about $202k 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 801 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 796 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Software Engineer, Full Stack

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As a Senior Software Engineer on our dynamic and innovative team, you will play a pivotal role in developing cutting-edge solutions for our scalable cloud-based platform. Your day-to-day responsibilities include designing and implementing robust software features that enhance user experience and system performance. You will work closely with cross-functional teams to build new products and improve existing ones, ensuring they meet high-quality standards. The ideal candidate possesses expertise in Java, Python, and JavaScript, along with a strong understanding of cloud technologies such as AWS or Azure. Familiarity with microservices architecture and containerization tools like Docker and Kubernetes is highly desirable. This role involves tackling complex business challenges within the fast-paced tech industry, requiring a deep commitment to continuous learning and innovation.

Skills

Nonelisted

What you'll do

Develop and implement advanced statistical models for predictive analytics.
Analyze large datasets to identify trends and patterns using machine learning techniques.
Create visualizations and reports to communicate insights to stakeholders effectively.
Collaborate with cross-functional teams to integrate statistical solutions into products.
Maintain up-to-date knowledge of industry trends in statistics and data science.

What we're looking for

Bachelor’s Degree required
Master's Degree preferred
Relevant professional certification (e.g., COPSSC) preferred
Strong analytical and problem-solving skills
Experience in data analysis and interpretation
Proficiency in statistical software and tools
Ability to communicate complex information clearly

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