Senior Data Engineer: Modeling, Architecture & Cloud

Capital One; Virginia; Hybrid; USD 179,000 - 225,000; Full time

Job summary

Capital One is seeking Data Engineers to drive a major transformation in data platforms and analytics. You will collaborate with product managers, software engineers, and data scientists to build scalable cloud data solutions using Python, Spark, Databricks, and Snowflake.

You will independently design and deliver end-to-end data pipelines, enforce data quality patterns, and communicate data outcomes clearly to stakeholders. This role emphasizes security, performance, and maintainability.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field.
• At least 4 years of application development experience.
• At least 2 years of distributed data experience.
• At least 2 years of SQL experience.
• At least 2 years of programming in Python, Java, or Scala.
• At least 2 years of data pipeline design & development.
• At least 1 year of data modeling in relational and non-relational systems.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Architect and deliver cloud-first data pipelines at scale.
• Implement data security standards and access controls across platforms.
• Mentor teammates and promote best practices for data engineering.

Skills

Python

SQL

Spark

Data pipelines

Data modeling

Cloud

Education

Bachelors in CS or related field

Tools

Databricks

Snowflake

EMR

Airflow

Job description

Capital One is seeking Data Engineers to drive a major transformation in data platforms and analytics. You will collaborate with product managers, software engineers, and data scientists to build scalable cloud data solutions using Python, Spark, Databricks, and Snowflake.

You will independently design and deliver end-to-end data pipelines, enforce data quality patterns, and communicate data outcomes clearly to stakeholders. This role emphasizes security, performance, and maintainability.