Senior Lead Data Engineer (Enterprise Platform Technology) (Java, Python, Scala, AWS)

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · New York, NY
Salary: $229,900–$262,400 / yr
Posted: 16 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k

This role $246k

$165k most similar roles pay here $273k

This role pays more than 93% of similar roles. Most pay $175,500–$223,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $200k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Data Engineer (Enterprise Platform Technology) (Java, Python, Scala, AWS)

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As a Senior Lead Data Engineer on the Enterprise Platform Technology team, you will be responsible for designing and implementing scalable data solutions using Java, Python, and Scala within an AWS environment. Your day-to-day tasks will include building robust data pipelines, optimizing data processing workflows, and ensuring high performance and reliability of enterprise-level systems. You will work closely with cross-functional teams to address complex business problems related to large-scale data management and analytics. Ideal candidates possess a Master's Degree and have experience in developing and maintaining sophisticated data architectures that support mission-critical applications at scale.

Skills

Java Python Scala AWS

What you'll do

Design and implement large-scale data processing systems using Java, Python, and Scala.
Optimize data pipelines on AWS to ensure high performance and reliability.
Develop ETL processes to integrate diverse data sources into a unified platform.
Ensure data security and compliance with regulatory standards in all projects.
Mentor junior engineers and contribute to the development of best practices.

What we're looking for

Minimum 7 years of experience in data engineering and architecture.
Proficiency in Java, Python, Scala, and AWS services.
Strong background in designing and implementing large-scale data systems.
Experience with cloud platforms, particularly AWS.
Bachelor’s Degree required; Master's preferred.

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