Senior Data Engineer: Cloud Pipelines & ML Impact

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

Job summary

Capital One is seeking a Data Engineer to join a fast-paced team focused on modernizing data platforms. You will design and deliver cloud-first data solutions, build scalable data pipelines, and ensure security and governance across large data environments.

The role emphasizes collaboration with product managers, engineers, and data scientists to empower financial services with robust analytics. You will mentor peers, drive architectural best practices, and stay current with emerging data

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field.
• Experience in building data pipelines and end-to-end data solutions.
• Experience with relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence teams with experience in lakehouse architecture and distributed systems.
• Design and deliver cloud-first data solutions for scalable, secure workloads.
• Build data pipelines and ensure data security and privacy compliance.
• Communicate technical concepts clearly to stakeholders and iterate on feedback.
• Mentor team members and promote best practices in data engineering.

Skills

Application development

Distributed data

SQL

Python/Java/Scala

Data pipelines

Data modeling

Python

Scala

Java

Cloud platforms

Spark/EMR/Databricks

Streaming data

Airflow

NoSQL databases

Data warehousing

Agile

Data products

Education

Bachelor's Degree or higher in CS or related field

Job description

Capital One is seeking a Data Engineer to join a fast-paced team focused on modernizing data platforms. You will design and deliver cloud-first data solutions, build scalable data pipelines, and ensure security and governance across large data environments.

The role emphasizes collaboration with product managers, engineers, and data scientists to empower financial services with robust analytics. You will mentor peers, drive architectural best practices, and stay current with emerging data