Senior Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $229,900–$262,400 / yr
Posted: 73 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k

This role $246k

$140k most similar roles pay here $276k

This role pays more than 95% of similar roles. Most pay $152,841–$211,200 — the shaded band above. At the midpoint, this role pays about $246k versus about $182k 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 · Senior Lead Data Engineer

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As a Senior Lead Data Engineer (AWS, Python, Snowflake, Databricks, AI-Assisted Coding Tools), you will join the Risk Tech team to build and deploy proprietary risk management solutions powered by state-of-the-art AI technology. You will collaborate with Agile teams and partners to design, develop, test, and support full-stack technical solutions while leading a team of developers experienced in machine learning, distributed microservices, and full-stack systems. Your daily work involves utilizing Java, Scala, Python, and SQL alongside Open Source RDBMS, NoSQL databases, and cloud warehousing services like Redshift and Snowflake. You will also leverage AI-assisted coding tools to accelerate productivity. The role focuses on solving complex business problems by creating data-driven tools that use machine learning to prevent risks and automatically detect issues before they impact customers or the business.

Skills

AWS Snowflake Python Databricks SQL Scala Java Redshift Spark Kafka Hadoop Hive EMR NoSQL Cassandra Linux Shell Scripting Agile

What you'll do

Design, develop, test, and support technical solutions using full-stack development tools and technologies.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Build and deploy proprietary risk management solutions powered by state-of-the-art AI technology.
Develop robust cloud-based data solutions using Python, Java, Scala, Snowflake, and AWS.
Perform unit tests and conduct code reviews to ensure high performance and quality.
Mentor other members of the engineering community and share knowledge on emerging tech trends.
Utilize interactive AI tooling to accelerate development productivity and coding efficiency.

What we're looking for

At least 6 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 distributed data/computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
Experience with NoSQL implementation (Mongo, Cassandra) and data warehousing (Redshift or Snowflake).
Experience leveraging interactive AI tooling to accelerate productivity beyond basic code completion.
Bachelor’s Degree.

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