Senior Lead Data Engineer

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VARichmond, VAChicago, IL
Salary
$209,000–$238,500 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $224k
$129k most similar roles pay here $250k

This role pays more than 82% of similar roles. Most pay $140,418–$211,743 — the shaded band above. At the midpoint, this role pays about $224k versus about $176k 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 782 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 778 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Data Engineer

As a Senior Lead Data Engineer at COPSSC in McLean, VA, you will lead a team of data engineers to design and implement robust data solutions that support complex business intelligence needs. Your day-to-day responsibilities include overseeing the development of scalable data pipelines, ensuring data quality and integrity, and collaborating with cross-functional teams to deliver innovative analytics solutions. You will work extensively with technologies such as Apache Hadoop, Spark, and Kafka, along with SQL and Python for data processing and analysis. This role requires a deep understanding of cloud platforms like AWS or Azure and expertise in database management systems. The ideal candidate has experience in large-scale data engineering projects and can navigate the nuances of regulatory compliance in financial services.

What you'll do

  • Design and implement complex data engineering solutions to support business intelligence needs.
  • Optimize data pipelines for efficiency and scalability across multiple platforms.
  • Develop ETL processes to integrate diverse data sources into a unified repository.
  • Ensure data quality, accuracy, and integrity through rigorous testing and validation.
  • Mentor junior engineers and provide technical guidance on best practices.

What we're looking for

  • Bachelor’s or Master's degree in Computer Science, Engineering, or related field.
  • Extensive experience leading data engineering teams and projects.
  • Proficiency in big data technologies and cloud platforms like AWS or Azure.
  • Strong background in designing and implementing data architectures.
  • Experience with data warehousing, ETL processes, and analytics tools.

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