Senior Data Engineer: Modeling & Architecture - Cloud-First

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

Job summary

Capital One is hiring a Data Engineer 4 (Manager IC) in Richmond, VA. The role focuses on data modeling, lakehouse architectures, and cloud-first data solutions across agile teams.

You will work with Python, Spark, SQL and NoSQL databases, deploying on Databricks and Snowflake, and mentor staff while shaping scalable, secure pipelines. Minimum requirements include a CS degree and several years of experience in data engineering, with strong emphasis on data modeling, pipelines and distributed

Qualifications

• Bachelor’s Degree or higher in Computer Science or related field.
• 4+ years of experience in application development.
• 2+ years of experience in distributed data.
• 2+ years of experience with SQL.
• 2+ years of experience in data pipeline design and development.
• 1+ year of experience in data modeling and end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement and support data solutions.
• Influence a team of developers, data analysts and data scientists on data architecture and pipelines.
• Utilize Python, Spark and cloud data warehousing platforms like Databricks and Snowflake.
• Mentor others and stay current with data tech trends and communities.
• Deliver cloud-first data solutions that scale for millions of users.

Skills

Python

SQL

Spark

Databricks

Snowflake

Data modeling

Cloud platforms

Education

Bachelor's degree or higher in Computer Science or related field

Tools

Databricks

Snowflake

EMR

MongoDB

Cassandra

DynamoDB

Job description

Capital One is hiring a Data Engineer 4 (Manager IC) in Richmond, VA. The role focuses on data modeling, lakehouse architectures, and cloud-first data solutions across agile teams.

You will work with Python, Spark, SQL and NoSQL databases, deploying on Databricks and Snowflake, and mentor staff while shaping scalable, secure pipelines. Minimum requirements include a CS degree and several years of experience in data engineering, with strong emphasis on data modeling, pipelines and distributed