Lead Software Engineer (Python, Scala, Spark, AWS)

Capital One Financial

Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VAChicago, IL
Salary: $179,400–$204,700 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k

This role $192k

$174k most similar roles pay here $231k

This role pays less than 54% of similar roles. Most pay $183,500–$214,737 — the shaded band above. At the midpoint, this role pays about $192k versus about $199k 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 716 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 709 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Software Engineer (Python, Scala, Spark, AWS)

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As a Lead Software Engineer on our data engineering team, you will lead the development and maintenance of scalable data processing pipelines using Python, Scala, and Apache Spark. Your primary focus will be to enhance existing systems and build new features that support real-time analytics and machine learning workflows at massive scale. You will work closely with cross-functional teams including data scientists and product managers to identify business needs and translate them into technical solutions. The role requires a deep understanding of distributed computing, cloud technologies such as AWS, and experience in managing large datasets. Ideal candidates have 7+ years of hands-on experience in Java, Scala, Python, or Spark, with a strong preference for those who can demonstrate leadership in complex software projects.

Skills

Python Scala Spark AWS

What you'll do

Design and implement large-scale data processing systems using Apache Spark.
Optimize software performance for big data applications on AWS infrastructure.
Develop robust backend services using Python and/or Scala.
Mentor junior engineers and provide technical guidance on complex projects.
Maintain code quality by reviewing and refactoring existing codebases.

What we're looking for

Bachelor’s and Master's degree required.
At least 7 years of experience in Java, Scala, Python, or Spark.
Strong proficiency in Python programming.
Experience with Scala and Apache Spark is essential.
Extensive knowledge of AWS services and platforms.

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