Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, ILPlano, TX
Salary: $179,400–$204,700 / yr
Posted: 14 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k

This role $192k

$137k most similar roles pay here $219k

This role pays more than 62% of similar roles. Most pay $146,687–$211,200 — the shaded band above. At the midpoint, this role pays about $192k 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 688 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 681 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

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As a Lead Data Engineer at our company, you will join a dynamic and innovative team responsible for architecting scalable data solutions. Your primary responsibilities include designing and implementing robust data pipelines, ensuring high-quality data governance practices, and collaborating with cross-functional teams to drive business insights through advanced analytics. You will work extensively with cloud-based technologies such as AWS or Azure, leveraging tools like Apache Spark, Hadoop, and Kubernetes. Proficiency in programming languages such as Python, SQL, and Java is essential, along with a strong understanding of data warehousing solutions like Snowflake or Redshift. This role demands expertise in managing large-scale datasets and optimizing performance for real-time analytics, contributing to the company’s mission to deliver cutting-edge data-driven products at enterprise scale.

Skills

Apache Spark Hadoop Python SQL AWS Azure Google Cloud Platform Kafka Docker CI/CD Git Jenkins Terraform PostgreSQL Snowflake Airflow BigQuery Redis

What you'll do

Design and implement data architecture solutions to support business needs.
Manage ETL processes to ensure timely and accurate data flow.
Optimize data storage and retrieval systems for efficiency and scalability.
Develop and maintain data governance policies and standards.
Provide technical leadership and mentorship to junior engineers.

What we're looking for

Bachelor’s Degree required
Extensive experience in data engineering and architecture
Proficiency in big data technologies and tools
Strong skills in cloud platforms like AWS or Azure
Experience leading data projects and teams
Ability to design and optimize complex data systems
Knowledge of data security, privacy, and compliance standards

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