Senior Lead Data Engineer (Bank Tech)

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / 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 $183k

This role $246k

$129k most similar roles pay here $277k

This role pays more than 93% of similar roles. Most pay $143,067–$223,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $183k for comparable roles.

Based on 239 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 573 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 569 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Data Engineer (Bank Tech)

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As a Senior Lead Data Engineer at COPSSC, you will join the Bank Tech team to drive innovative solutions for complex financial data challenges. Your primary responsibilities include designing and implementing robust data pipelines, integrating diverse data sources, and building scalable data infrastructure to support real-time analytics and reporting. You will work closely with cross-functional teams to ensure data quality and reliability, enabling informed decision-making across the organization. The ideal candidate possesses extensive experience in big data technologies such as Hadoop, Spark, and Kafka, along with proficiency in SQL, Python, and Java. Familiarity with cloud platforms like AWS or Azure is essential, as you will be working on large-scale datasets to address critical business needs within a fast-paced financial environment.

Skills

Python SQL Hadoop Spark AWS Kubernetes Docker CI/CD Git Jenkins PostgreSQL MongoDB Snowflake ETL Data Warehousing Big Data Analytics Agile

What you'll do

Design and implement complex data engineering solutions for banking technology.
Optimize data pipelines to ensure efficient processing of large datasets.
Develop and maintain ETL processes to support business intelligence needs.
Ensure data quality, integrity, and security across 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.
8+ years of experience in data engineering and architecture.
Proficiency in big data technologies such as Hadoop, Spark, and Kafka.
Strong background in cloud platforms like AWS, Azure, or GCP.
Experience with data warehousing solutions and SQL databases.
Excellent problem-solving skills and ability to work under pressure.

Remote

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Senior Lead Software Engineer, Full Stack (Bank Tech)

Capital One Financial

McLean, VA 48 days ago $229,900–$262,400

Java Python JavaScript TypeScript SQL Go Docker Kubernetes AWS PostgreSQL MongoDB

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