Senior Data Engineer: Intelligent Foundations & Experiences

Capital One; Richmond (VA); On-site; USD 179,000 - 225,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 for Intelligent Foundations and Experiences (IFX) in Virginia. You will design and deliver cloud-first data solutions, collaborate with Agile teams, and mentor others while advancing lakehouse architectures with Spark, Python, and SQL.

This role emphasizes building scalable pipelines, enforcing data security, and partnering with product managers and software engineers to empower millions of customers with better financial experiences.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field.
• At least 4 years of experience in application development.
• At least 2 years of experience in distributed data and 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 designing end-to-end data solutions using relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support technical solutions.
• Influence a team of developers, data analysts and data scientists with machine learning and lakehouse architectures.
• Use Python and Spark, plus SQL and cloud data warehousing platforms like Databricks and Snowflake.
• Share passion for emerging data trends, learning new technologies, and mentoring other data team members.
• Collaborate with product managers and software engineers to deliver cloud-first data solutions that empower customers.

Skills

Python

SQL

Java/Scala

Cloud data engineering

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

Databricks

Snowflake

EMR

Airflow

Docker

Job description

Capital One is seeking a Data Engineer 4 for Intelligent Foundations and Experiences (IFX) in Virginia. You will design and deliver cloud-first data solutions, collaborate with Agile teams, and mentor others while advancing lakehouse architectures with Spark, Python, and SQL.

This role emphasizes building scalable pipelines, enforcing data security, and partnering with product managers and software engineers to empower millions of customers with better financial experiences.