Lead Data Engineer (Bank Tech)

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 10 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k

This role $211k

$137k most similar roles pay here $235k

This role pays more than 73% of similar roles. Most pay $146,325–$215,350 — the shaded band above. At the midpoint, this role pays about $211k versus about $181k 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 805 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 798 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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As a Lead Data Engineer at Bank Tech, you will join a dynamic team focused on driving innovation in financial data solutions. Your primary responsibilities include designing and implementing robust data pipelines, ensuring high-quality data governance, and collaborating with cross-functional teams to develop scalable data infrastructure. Day-to-day tasks involve working with big data technologies such as Hadoop, Spark, and Kafka, while also leveraging SQL and Python for data processing and analysis. You will play a crucial role in addressing complex business challenges by optimizing data workflows and enhancing data security measures within the financial sector’s stringent regulatory environment.

Skills

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

What you'll do

Design and implement data engineering solutions to support business intelligence needs.
Optimize data pipelines for efficiency and reliability in a banking environment.
Ensure data quality and integrity through robust validation processes.
Develop ETL jobs to extract, transform, and load data across various systems.
Maintain and enhance metadata management frameworks for complex datasets.

What we're looking for

Bachelor’s degree in Computer Science, Engineering, or related field.
Proven experience leading data engineering teams and projects.
Expertise in designing and implementing large-scale data architectures.
Strong knowledge of cloud platforms (AWS, Azure, GCP) for data solutions.
Experience with big data technologies such as Hadoop, Spark, Kafka.
Excellent problem-solving skills and ability to work under pressure.

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