Senior Lead Data Engineer, Enterprise Risk Management

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Employment: Full-time
Posted: 91 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $171k

$117k $224k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $127,587–$214,000.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Lead Data Engineer, Enterprise Risk Management

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The Sr. Lead Data Engineer - Enterprise Risk Management joins a team focused on driving a major transformation by marrying data with emerging technologies. This role involves leading a team of developers to design, develop, test, and support technical solutions within a full-stack development environment. Key responsibilities include collaborating across Agile teams to deliver robust cloud-based solutions, performing unit tests, and conducting code reviews to ensure performance tuning. The position requires proficiency in Java, Scala, Python, SQL, and shell scripting, alongside experience with Open Source RDBMS, NoSQL databases like Mongo and Cassandra, and cloud data warehousing services such as Redshift and Snowflake. Candidates must also utilize distributed computing tools including Spark, Kafka, and Hadoop to solve complex business problems in the enterprise risk management domain.

Skills

Python SQL Scala Java AWS Microsoft Azure Google Cloud Spark Kafka Redshift Snowflake Apache Flink Hadoop Hive EMR Cassandra MapReduce UNIX Linux Agile

What you'll do

Design, develop, test, implement, and support technical solutions using full-stack development tools.
Lead a team of developers specializing in machine learning, distributed microservices, and full-stack systems.
Utilize Java, Scala, Python, and various RDBMS and NoSQL databases for data engineering.
Build and manage cloud-based data warehousing solutions using Redshift and Snowflake.
Deliver robust cloud-based solutions to drive financial empowerment experiences for customers.
Perform unit tests and conduct code reviews to ensure high performance and elegant design.
Mentor other members of the engineering community on new technologies and tech trends.

What we're looking for

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

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