Lead Data Engineer — AI-Driven Risk Tech

Capital One; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One in Richmond, VA is seeking a Lead Data Engineer to drive data engineering across Risk Tech. You will collaborate with agile teams to design and implement scalable data pipelines leveraging Java, Python, Scala, SQL, and cloud data warehousing (Redshift/Snowflake).

You will mentor engineers and ensure robust, high-performance solutions. The role requires 4+ years in data engineering, cloud experience, and strong knowledge of Big Data tools.

Qualifications

• Bachelor's degree required.
• 4+ years in application development.
• 2+ years in big data technologies.
• 1+ year cloud computing (AWS/Azure/Google).
• Experience with Python/SQL/Scala/Java for data pipelines.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support full-stack solutions.
• Work with teams experienced in ML, distributed microservices, and full-stack systems.
• Use Java, Python, Scala and SQL with RDBMS and NoSQL databases and cloud data warehouses.
• Mentor other engineering team members and stay current with tech trends.
• Deliver cloud-based data solutions that enable risk management and financial empowerment.

Skills

Java

Python

Scala

SQL

NoSQL

Redshift

Snowflake

Spark

Hadoop

Kafka

Unix/Linux

Agile engineering

Education

Bachelor's Degree

Tools

Spark

Hadoop

Kafka

EMR

Job description

Capital One in Richmond, VA is seeking a Lead Data Engineer to drive data engineering across Risk Tech. You will collaborate with agile teams to design and implement scalable data pipelines leveraging Java, Python, Scala, SQL, and cloud data warehousing (Redshift/Snowflake).

You will mentor engineers and ensure robust, high-performance solutions. The role requires 4+ years in data engineering, cloud experience, and strong knowledge of Big Data tools.