Lead Data Engineer - HR Tech

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · Richmond, VA
Salary: $197,300–$225,100 / yr
Posted: 23 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k

This role $211k

$147k most similar roles pay here $233k

This role pays more than 68% of similar roles. Most pay $157,200–$218,887 — the shaded band above. At the midpoint, this role pays about $211k versus about $188k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Lead Data Engineer - HR Tech

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As a Lead Data Engineer in the HR Tech team, you will leverage programming languages such as Java, Scala, Python, and open-source RDBMS and NoSQL databases to develop robust data solutions. You will work with Snowflake for cloud-based data warehousing, building scalable systems that support advanced analytics and machine learning initiatives. Your day-to-day responsibilities include deploying GenAI and agentic AI solutions, ensuring they integrate seamlessly with existing infrastructure. This role requires at least 4 years of experience in data warehousing with Snowflake and a strong background in developing intelligent automation tools. The position is ideal for someone who thrives in a fast-paced environment where innovative technology meets complex business challenges.

Skills

Python Java Scala Snowflake R NoSQL GenAI Agentic AI

What you'll do

Utilize Java, Scala, Python to develop data solutions.
Deploy GenAI and Agentic AI systems in production environments.
Design and implement data warehousing strategies using Snowflake.
Build scalable cloud-based data warehousing services with Snowflake.
Manage and optimize NoSQL databases for efficient data storage.

What we're looking for

4+ years of data warehousing experience using Snowflake.
Experience building and deploying Generative AI and Agentic AI solutions.
Proficiency in Java, Scala, Python, and relevant database technologies.
Bachelor’s Degree required.
Utilize cloud-based data warehousing services like Snowflake.
Strong background in programming languages and open-source databases.

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