Lead Data Engineer, HR Tech

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 45 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k

This role $211k

$132k most similar roles pay here $235k

This role pays more than 79% of similar roles. Most pay $141,725–$211,200 — the shaded band above. At the midpoint, this role pays about $211k versus about $176k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 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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Lead Data Engineer - HR Tech joins a collaborative team of developers focused on building robust cloud-based solutions within an Agile environment. This role involves designing, developing, testing, and supporting technical solutions using full-stack development tools while collaborating with product managers to deliver high-performance systems. The engineer will build and deploy GenAI and Agentic AI solutions while mentoring other members of the engineering community. Key technologies include Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and Snowflake for data warehousing. The role requires proficiency in distributed computing tools such as Hadoop, Hive, EMR, Kafka, and Spark, along with cloud platforms like AWS, Microsoft Azure, or Google Cloud. The work focuses on solving complex business problems by integrating emerging technologies into the core product infrastructure.

Skills

Python SQL Scala Java Snowflake AWS Microsoft Azure Google Cloud Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL UNIX Linux Shell Scripting GenAI Agentic AI Agile

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Build and deploy GenAI and Agentic AI solutions for customer experience.
Develop robust cloud-based data solutions using Snowflake and other cloud warehousing services.
Write high-quality code in Java, Scala, or Python to manage distributed microservices.
Perform unit tests and conduct peer code reviews to ensure performance and design quality.
Manage real-time data streaming applications and large-scale big data processing.
Mentor other members of the engineering community on emerging technologies and best practices.

What we're looking for

At least 4 years of experience in application development.
At least 2 years of experience in big data technologies.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
Experience with programming languages including Java, Scala, Python, and SQL.
Experience with Snowflake, NoSQL databases, and distributed computing tools like Spark or Kafka.
Experience with Agile engineering practices.
Experience building and deploying GenAI and Agentic AI solutions.
Work authorization that require immigration support from an employer.

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