Senior Data Engineer - Python & AWS | Real-Time Risk Tech

Capital One Group; Virginia, Northern (MN, KY); Hybrid; USD 179,000 - 225,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 to join Risk Tech and drive real-time, cloud-first data solutions. You will collaborate with agile teams to design, build, and scale data pipelines using Python, Spark, and modern data platforms like Databricks and Snowflake.

You’ll influence engineers and data scientists, implement robust data models, and ensure secure, compliant data architectures across multiple cloud environments.

Qualifications

• Bachelor's degree in CS or related quantitative field.
• At least 4 years in application development.
• At least 2 years in distributed data.
• At least 2 years with SQL.
• At least 2 years in Python, Java, or Scala.
• At least 2 years in data pipeline design and development.
• At least 1 year in data modeling with relational and non-relational DBs.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support data solutions.
• Architect and enforce data engineering design patterns for code quality.
• Design and operate scalable data pipelines and platforms in cloud environments.
• Mentor data engineers and data scientists; share best practices.
• Communicate data outcomes clearly to stakeholders to drive alignment.

Skills

SQL

Python

Distributed data

Data pipelines

Data modeling

Cloud data platforms

Java/Scala

Spark

Education

Bachelor's degree in CS or related

Tools

EMR

Spark

Databricks

Glue

Airflow

Redshift/Snowflake

Job description

Capital One is seeking a Data Engineer 4 to join Risk Tech and drive real-time, cloud-first data solutions. You will collaborate with agile teams to design, build, and scale data pipelines using Python, Spark, and modern data platforms like Databricks and Snowflake.

You’ll influence engineers and data scientists, implement robust data models, and ensure secure, compliant data architectures across multiple cloud environments.