Senior Lead Data Engineer, Enterprise Risk Management

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $229,900–$262,400 / yr
Posted: 45 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 $178k

This role $246k

$131k most similar roles pay here $277k

This role pays more than 94% of similar roles. Most pay $144,650–$211,200 — the shaded band above. At the midpoint, this role pays about $246k versus about $178k 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, Enterprise Risk Management

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As a Sr. Lead Data Engineer - Enterprise Risk Management, you will join a collaborative team to design, develop, test, implement, and support technical solutions within an Agile environment. 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 building robust cloud-based solutions to solve complex business problems. 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 also utilize distributed computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, and Apache Flink to manage real-time data streaming applications.

Skills

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

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
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 peer code reviews to ensure high performance and quality.
Deliver scalable technical solutions that support products for millions of customers.

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 tools such as MapReduce, Hadoop, Hive, EMR, Kafka, or Spark.
Experience with NoSQL databases (Mongo, Cassandra) and cloud data warehousing (Redshift or Snowflake).
Experience with UNIX/Linux systems and Agile engineering practices.

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