Senior Lead Data Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VAChicago, IL
Salary: $209,000–$238,500 / yr
Posted: 86 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

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As a Senior Lead Data Engineer, you will join a collaborative team to design, develop, test, implement, and support technical solutions within a full-stack development environment. You will lead a team of developers experienced in machine learning, distributed microservices, and full-stack systems while collaborating with digital product managers to deliver robust cloud-based solutions for financial empowerment. Your daily work involves performing unit tests, conducting code reviews, and ensuring software is tuned for performance. 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 also utilize distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, and Spark while working within Agile engineering practices to solve complex data problems in a high-paced environment.

Skills

Python SQL Scala Java AWS Redshift Snowflake Spark Kafka Hadoop Hive EMR NoSQL Cassandra MapReduce UNIX Linux 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.
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 quality.
Deliver scalable technical solutions that drive digital products for customer financial empowerment.

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, Spark, Gurobi, or MySQL.
Experience with NoSQL implementations (Mongo, Cassandra) and data warehousing (Redshift or Snowflake).
Experience with Agile engineering practices and UNIX/Linux shell scripting.

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