Senior Lead Data Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA · Richmond, VA · Chicago, IL · Plano, TX
Salary: $209,000–$238,500 / yr
Posted: 78 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k

This role $224k

$120k most similar roles pay here $251k

This role pays more than 80% of similar roles. Most pay $144,262–$217,725 — the shaded band above. At the midpoint, this role pays about $224k versus about $181k 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 · Senior Lead Data Engineer

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As a Senior Lead Data Engineer at Capital One, you will lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems to design, develop, test, implement, and support robust cloud-based solutions that drive financial empowerment for millions of Americans. Your day-to-day responsibilities include collaborating with Agile teams and digital product managers to deliver cutting-edge technical solutions using Java, Scala, Python, and open-source RDBMS and NoSQL databases like Redshift and Snowflake. You will also stay updated on tech trends, mentor team members, and conduct code reviews to ensure high performance standards are met. This role requires a deep understanding of big data technologies, cloud computing platforms such as AWS or Azure, and distributed data/computing tools including Hadoop and Spark.

Skills

Java Scala Python SQL Hadoop Spark Kafka Redshift Snowflake AWS Azure Google Cloud MapReduce NoSQL MongoDB Cassandra UNIX/Linux Shell Scripting Agile CI/CD

What you'll do

Lead a team developing machine learning and full-stack systems using Java, Scala, Python.
Design and implement cloud-based data warehousing solutions with Redshift and Snowflake.
Conduct code reviews to ensure performance optimization and rigorous design standards.
Stay updated on tech trends and mentor engineering community members.
Collaborate with product managers to deliver robust cloud solutions for financial empowerment.

What we're looking for

At least 6 years of experience in application development.
Deep expertise in big data technologies and cloud computing platforms.
Proven leadership in managing teams with machine learning and full-stack systems knowledge.
Proficiency in Java, Scala, Python, and using Open Source RDBMS and NoSQL databases.
Experience with distributed data/computing tools like Hadoop, Spark, Kafka, and Redshift.

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