Lead Data Engineer

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Richmond, VA
Salary: $179,400–$204,700 / yr
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k

This role $192k

$155k most similar roles pay here $233k

This role pays less than 51% of similar roles. Most pay $162,755–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $187k 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.

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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 (Python, Spark, AWS, ETL), you will join an agile team of developers to design, develop, test, and support technical solutions within a full-stack environment. You will collaborate with product managers to build robust cloud-based solutions that drive financial empowerment experiences for millions of users. Your daily responsibilities include performing unit tests, conducting code reviews, and mentoring other members of the engineering community while staying current on emerging technology trends. The role requires proficiency in Python, Spark, PySpark, Java, and Scala, alongside experience with Open Source RDBMS, NoSQL databases like DynamoDB or Cassandra, and cloud warehousing tools such as Redshift and Snowflake. You will also work with distributed computing technologies including Hadoop, Hive, EMR, Kafka, and Gurobi to solve complex problems in a high-paced production environment.

Skills

Python Spark PySpark AWS Redshift Snowflake Java Scala NoSQL ETL Kafka Hadoop Hive EMR DynamoDB Cassandra Agile

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Build robust cloud-based data solutions using technologies like Redshift and Snowflake.
Develop applications using programming languages including Java, Scala, and Python.
Manage big data processing and distributed microservices using Spark and NoSQL databases.
Perform unit tests and conduct code reviews to ensure performance and design quality.
Mentor other members of the engineering community and share knowledge on tech trends.
Deliver scalable solutions for real-time data and streaming applications.

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).
7+ years of experience in application development including Python, Spark, or PySpark (preferred).
4+ years of experience with a public cloud (AWS, Microsoft Azure, or Google Cloud) (preferred).
4+ years of experience with Distributed data/computing tools, real-time streaming applications, NoSQL implementation, and data warehousing (preferred).
2+ years of experience with Agile engineering practices (preferred).
Bachelor’s Degree.

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