Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: Plano, TX
Salary: $179,400–$204,700 / yr
Posted: 46 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k

This role $192k

$116k most similar roles pay here $231k

This role pays more than 60% of similar roles. Most pay $126,800–$213,750 — the shaded band above. At the midpoint, this role pays about $192k versus about $170k 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.

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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 architecting and implementing robust data solutions. Your primary responsibilities include designing scalable data pipelines, developing ETL processes, and building data models to support business intelligence initiatives. You will work closely with cross-functional teams to ensure data quality and integrity while driving the adoption of best practices in data engineering. Ideal candidates have at least 7 years of experience in application development using Python, SQL, or Scala, and possess a strong understanding of cloud-based technologies such as AWS or Azure. This role involves tackling complex business challenges by leveraging advanced analytics and machine learning techniques to extract meaningful insights from large datasets.

Skills

Python SQL Scala

What you'll do

Design and implement data engineering solutions to support business intelligence needs.
Optimize data pipelines for efficiency and reliability using Python, SQL, or Scala.
Develop ETL processes to integrate diverse data sources into a unified platform.
Ensure data quality and integrity through rigorous testing and validation procedures.
Collaborate with stakeholders to understand data requirements and drive project timelines.

What we're looking for

Bachelor’s Degree required.
7+ years of experience in application development.
Proficiency in Python, SQL, and Scala.
Strong background in data engineering.
Experience with cloud-based data solutions preferred.

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