Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · Richmond, VA · Chicago, IL · Plano, TX
Salary: $179,400–$204,700 / yr
Posted: 79 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k

This role $192k

$137k most similar roles pay here $230k

This role pays more than 57% of similar roles. Most pay $146,800–$217,725 — the shaded band above. At the midpoint, this role pays about $192k versus about $182k 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 791 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 large-scale data solutions. Your primary responsibilities include designing robust data pipelines, ensuring data quality, and developing scalable ETL processes to support business intelligence needs. You will work closely with cross-functional teams to identify data requirements, optimize database performance, and automate data workflows using cutting-edge technologies such as Apache Hadoop, Spark, and Kafka. Proficiency in SQL, Python, and experience with cloud platforms like AWS or Azure are essential. This role involves tackling complex data challenges at a high scale, ensuring that our data infrastructure supports rapid business growth and drives strategic decision-making across the organization.

Skills

Python SQL Hadoop Spark AWS Azure Git Docker Kubernetes CI/CD Terraform PostgreSQL Snowflake BigQuery

What you'll do

Design and implement data architecture solutions to support business needs.
Develop ETL processes to ensure accurate and timely data flow.
Optimize data storage and retrieval systems for efficiency and scalability.
Ensure compliance with data governance policies and standards.
Mentor junior engineers and provide technical guidance on 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 skills 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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