Senior Data Engineer — Python & AWS Cloud Pipelines

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

Job summary

Capital One is seeking a Data Engineer 4 to design, build, and deliver cloud-first data solutions using Python, Spark and cloud data warehousing platforms. You will collaborate with Agile teams and mentor peers, driving scalable data pipelines in a fast-paced environment.

This role emphasizes near-term impact on data infrastructure, security, and reliability while enabling data-driven decisions for millions of customers. Richmond, VA-based position with competitive pay.

Qualifications

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in application development
• At least 2 years of experience with SQL
• At least 2 years of experience with one programming language (Python, Java, or Scala)
• At least 2 years of experience in data pipeline design and development
• At least 1 year of experience in data modeling and end-to-end data solutions using relational and NoSQL databases

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence a team of developers, data analysts and data scientists
• Utilize Python, Spark, and cloud data warehousing platforms such as Databricks and Snowflake
• Mentor other members of the data community
• Deliver cloud-first data solutions to drive financial empowerment for users

Skills

Python

SQL

Scala

Java

Data pipelines

Education

Bachelor's Degree or higher in Computer Science or related quantitative field

Tools

EMR

Spark

Databricks

Glue

Snowflake

Redshift

NoSQL databases

MongoDB

Cassandra

DynamoDB

Airflow

Dagster

Job description

Capital One is seeking a Data Engineer 4 to design, build, and deliver cloud-first data solutions using Python, Spark and cloud data warehousing platforms. You will collaborate with Agile teams and mentor peers, driving scalable data pipelines in a fast-paced environment.

This role emphasizes near-term impact on data infrastructure, security, and reliability while enabling data-driven decisions for millions of customers. Richmond, VA-based position with competitive pay.