Lead Data Engineer (Java, Python, AWS)

Capital One Financial

Actively hiring Posted this week Verified listing

Plano, TX Posted 2 days ago $179,400–$204,700 / year

Work type: On-site
Location: Plano, TX
Salary: $179,400–$204,700 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k

This role $192k

$147k most similar roles pay here $233k

This role pays more than 52% of similar roles. Most pay $155,534–$213,750 — the shaded band above. At the midpoint, this role pays about $192k versus about $185k 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 573 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 569 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR

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As a Lead Data Engineer at this company based in Plano, Texas, you will lead the development and maintenance of data infrastructure using Java, Python, and AWS services. Your primary responsibilities include designing scalable data pipelines, optimizing data processing workflows, and ensuring robust data governance practices. You will collaborate closely with cross-functional teams to integrate new data sources, enhance existing analytics capabilities, and support business intelligence initiatives. Ideal candidates have at least 7 years of experience in application development, proficiency in Python and SQL, and a strong background in cloud technologies such as AWS. This role requires expertise in managing large-scale datasets and solving complex technical challenges within the fast-paced environment of enterprise data management.

Skills

Python Java SQL Scala AWS

What you'll do

Design and implement data engineering solutions using AWS services.
Optimize data pipelines for efficiency and scalability in Python and SQL.
Develop and maintain ETL processes to integrate diverse data sources.
Ensure data quality and integrity through rigorous testing and validation.
Collaborate with stakeholders to understand data requirements and deliverables.

What we're looking for

Bachelor’s Degree required.
7+ years of experience in application development using Python, SQL, and/or Scala.
Strong proficiency in Java and Python programming languages.
Extensive experience with AWS services and cloud architecture.
Experience leading data engineering projects and teams.

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