Lead Data Engineer (Bank Tech)

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · Richmond, VA · New York, NY · Wilmington, DE
Salary: $197,300–$225,100 / yr
Posted: 50 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k

This role $211k

$145k most similar roles pay here $234k

This role pays more than 69% of similar roles. Most pay $153,412–$220,900 — the shaded band above. At the midpoint, this role pays about $211k versus about $187k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer (Bank Tech)

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Bank Tech is hiring a Lead Data Engineer to lead the integration of data with cutting-edge technologies. This role involves designing and implementing robust data pipelines, ensuring efficient data storage and retrieval systems, and collaborating closely with cross-functional teams to drive innovation in financial technology solutions. The ideal candidate will have extensive experience in building scalable data architectures using tools like Apache Hadoop, Spark, and Kafka, alongside proficiency in SQL, Python, and Java. They should also possess strong problem-solving skills and a deep understanding of cloud platforms such as AWS or Azure. This position is crucial for addressing complex business challenges related to financial data analysis and automation at scale.

Skills

Python SQL AWS Kubernetes Docker CI/CD Git PostgreSQL BigQuery Snowflake Apache Spark Hadoop Data Warehousing ETL Scalability MLOps

What you'll do

Design and implement data architectures to support complex banking systems.
Develop ETL processes to integrate diverse data sources efficiently.
Optimize data storage solutions to ensure scalability and performance.
Ensure data security and compliance with regulatory standards.
Automate data processing workflows to enhance operational efficiency.

What we're looking for

Bachelor’s Degree required.
Extensive experience in data engineering and full stack software development.
Proficiency in marrying data with emerging technologies.
Strong problem-solving skills for complex technical challenges.
Experience working on projects involving large datasets and scalable systems.

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