Lead Data Engineer

Capital One Financial

Quick summary

Work type
On-site
Location
Plano, TX
Salary
$179,400–$204,700 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $192k
$144k most similar roles pay here $223k

This role pays more than 56% of similar roles. Most pay $151,686–$211,650 — 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 680 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 674 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer

As a Lead Data Engineer at our innovative tech company, you will lead the data engineering team responsible for designing and implementing scalable data solutions using cutting-edge technologies such as AWS and Snowflake. Your primary focus will be on building robust ETL pipelines, optimizing data storage and retrieval processes, and ensuring seamless integration with various applications. You will work closely with cross-functional teams to identify data requirements, develop automated workflows, and maintain high-quality data governance practices. With a strong background in Python, SQL, or Scala, you will bring expertise in cloud-based data architectures and hands-on experience in large-scale data processing environments. This role demands a deep understanding of data engineering principles and the ability to mentor junior engineers while driving the adoption of best practices across the organization.

What you'll do

  • Design and implement data engineering solutions using AWS and Snowflake.
  • Develop ETL processes to extract, transform, and load data efficiently.
  • Optimize data pipelines for performance and scalability.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Collaborate with data scientists to support advanced analytics initiatives.

What we're looking for

  • 7+ years of experience in application development using Python, SQL, and/or Scala.
  • Strong proficiency in AWS services for cloud-based solutions.
  • Expertise in Snowflake for data warehousing and analytics.
  • Bachelor’s Degree required.
  • Experience with data engineering and ETL processes.
  • Knowledge of database management and optimization techniques.

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