Senior Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILPlano, TX
Salary: $209,000–$238,500 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k

This role $224k

$130k most similar roles pay here $250k

This role pays more than 82% of similar roles. Most pay $141,637–$215,842 — the shaded band above. At the midpoint, this role pays about $224k versus about $179k 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 798 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 794 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Data Engineer

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As a Senior Lead Data Engineer at COPSSC in McLean, VA or Plano, TX, 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 architecting scalable data pipelines, integrating diverse data sources, and building automated ETL processes. You will work with cutting-edge technologies such as Apache Hadoop, Spark, and Kafka, while leveraging Python and SQL for scripting and analysis. This role requires expertise in cloud platforms like AWS or Azure, along with a deep understanding of big data frameworks and best practices. The ideal candidate has experience managing large-scale data projects and can effectively communicate technical solutions to both technical and non-technical stakeholders.

Skills

Hadoop Spark Python SQL AWS Azure Git Jenkins Docker Kubernetes CI/CD Snowflake PostgreSQL Redshift Airflow Terraform BigQuery Tableau PowerBI

What you'll do

Design and implement complex data engineering solutions to support business intelligence needs.
Optimize data pipelines for efficiency, scalability, and reliability across multiple platforms.
Develop and maintain ETL processes to ensure accurate and timely data delivery.
Ensure data security and compliance with regulatory requirements in all projects.
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 complex data architectures.
Experience with data warehousing solutions and ETL processes.

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