Senior Lead Data Engineer

Capital One Financial

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $209,000–$238,500 / yr
Posted: 12 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 $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

Role Posting Log in to save

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 expertise 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 collaborating with product managers to deliver robust cloud-based solutions for financial empowerment. The role requires proficiency in Java, Scala, Python, and SQL, along with experience in 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 to solve complex problems within a high-scale data environment.

Skills

Python SQL Scala Java AWS Azure Redshift Snowflake Spark Kafka Hadoop Hive EMR NoSQL Cassandra MySQL UNIX 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 data solutions using Java, Scala, Python, and various RDBMS or NoSQL databases.
Build and manage cloud-based data warehousing services such as Redshift and Snowflake.
Deliver robust cloud-based solutions to improve customer experiences for millions of users.
Perform unit tests and conduct code reviews to ensure high performance and quality.
Mentor other members of the engineering community and stay current on emerging technology trends.

What we're looking for

Bachelor's Degree or Master's Degree.
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, or Spark.
Experience with NoSQL implementations like Mongo or Cassandra and data warehousing like Redshift or Snowflake.
Experience with Agile engineering practices and UNIX/Linux shell scripting.

Save