Senior Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $209,000–$238,500 / yr
Posted: 24 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 $184k

This role $224k

$136k most similar roles pay here $249k

This role pays more than 80% of similar roles. Most pay $147,200–$220,300 — the shaded band above. At the midpoint, this role pays about $224k versus about $184k 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, you will join an agile team to design, develop, test, implement, and support technical solutions using full-stack development tools. You will lead a team of developers with experience in machine learning, distributed microservices, and full-stack systems while mentoring other members of the engineering community. Your daily responsibilities include performing unit tests, conducting code reviews, and building robust cloud-based solutions to solve complex business problems. The role requires proficiency in Java, Scala, Python, and SQL, alongside experience with Open Source RDBMS, NoSQL databases like Mongo or Cassandra, and cloud warehousing services such as Redshift or Snowflake. You will work with distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, and Spark within a Linux environment to deliver high-performance data solutions in the financial technology space.

Skills

Python SQL Scala Java AWS Azure Redshift Snowflake Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL Linux Shell Scripting Agile Machine Learning Microservices

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.
Develop applications using Java, Scala, Python, and various RDBMS or NoSQL databases.
Build and maintain robust cloud-based data warehousing solutions using Redshift or Snowflake.
Mentor other members of the engineering community and share knowledge on emerging technology trends.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Deliver scalable technical solutions that drive digital products for customer financial empowerment.

What we're looking for

Master's Degree (preferred).
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).
9+ years of experience in application development including Python, SQL, Scala, or Java (preferred).
4+ years of experience with a public cloud (preferred).
5+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred).

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