Lead Software Engineer, Full Stack

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 7 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 68% 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 681 open roles on FindRole.

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

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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 be responsible for designing and implementing scalable solutions to enhance our cutting-edge data analytics platform. Your day-to-day tasks will include collaborating with cross-functional teams to identify technical challenges, developing robust software components using modern programming languages such as Python and Java, and ensuring the reliability of our systems through rigorous testing and continuous integration practices. You should possess strong experience in cloud technologies like AWS or Azure, along with a deep understanding of data structures, algorithms, and distributed computing principles. This role requires expertise in big data processing frameworks such as Apache Spark and proficiency in SQL for database management. With a focus on delivering high-quality software that meets the needs of our global user base, you will play a crucial part in driving innovation within our organization.

Skills

No skills listed

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 and advancements in statistics.