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: 10 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.

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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 and implementing robust data solutions. Your primary responsibilities include designing scalable data pipelines, integrating diverse data sources, and building automated ETL processes to support business intelligence needs. You will work closely with cross-functional teams to ensure data quality and reliability, leveraging technologies such as Apache Hadoop, Spark, and Kafka. Proficiency in SQL, Python, and experience with cloud platforms like AWS or Azure is essential. This role involves addressing complex data challenges at scale, ensuring that our data infrastructure supports rapid business growth and advanced analytics capabilities.

Skills

Python SQL Hadoop Spark AWS Azure Google Cloud Platform Kubernetes Docker CI/CD Git Jenkins Terraform PostgreSQL MongoDB Snowflake BigQuery DataBricks Airflow

What you'll do

Design and implement data architecture solutions to support business needs.
Oversee the development of ETL processes for efficient data flow.
Ensure data quality and integrity through rigorous testing and validation.
Optimize big data processing frameworks for performance and scalability.
Mentor junior engineers and provide technical guidance on complex projects.

What we're looking for

Bachelor’s Degree required
Extensive experience in data engineering and architecture
Proficiency in big data technologies and tools
Strong background in cloud platforms like AWS or Azure
Experience leading data engineering teams and projects
Ability to design and implement scalable data solutions
Knowledge of data governance, security, and compliance standards

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