Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: WilmingtonNew York, NY
Salary: $179,400–$204,700 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $192k

$130k most similar roles pay here $220k

This role pays more than 61% of similar roles. Most pay $138,725–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $175k 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 800 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 795 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 driving data-driven initiatives across the organization. Your primary responsibilities include designing and implementing robust data pipelines, ensuring high-quality data governance practices, and collaborating with cross-functional teams to deliver scalable solutions. Day-to-day tasks involve working with big data technologies such as Hadoop, Spark, and Kafka, while also leveraging Python and SQL for data processing and analysis. You will play a crucial role in enhancing our company’s ability to leverage data insights for strategic decision-making, focusing on areas like customer analytics and operational efficiency at enterprise scale.

Skills

Python SQL Apache Spark Hadoop AWS Kubernetes Docker CI/CD Git Jenkins PostgreSQL MongoDB Scalability Data Warehousing ETL Big Data Analytics Cloud Computing

What you'll do

Design and implement data engineering solutions to support business intelligence needs.
Optimize data pipelines for efficiency and scalability across multiple platforms.
Ensure data quality and integrity through rigorous testing and validation processes.
Develop ETL jobs to extract, transform, and load data from various sources.
Lead the documentation of data architecture and maintain technical knowledge bases.

What we're looking for

Bachelor’s Degree required.
Extensive experience in data engineering and architecture.
Proficiency in big data technologies and cloud platforms.
Strong skills in programming languages like Python or Java.
Experience with data warehousing and ETL processes.
Ability to lead and mentor a team of data engineers.

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