Data Engineer IV: Cloud-Native Data Pipelines ML

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

Job summary

Capital One is seeking a Data Engineer 4 to join our Chicago or McLean offices. You will design, build, and scale cloud-first data pipelines, collaborating with agile teams and data scientists to solve real business problems.

Ideal candidates bring 4+ years in data engineering, strong Python/SQL skills, and hands-on cloud experience with Spark-based tech stacks such as Databricks, EMR, Glue, or Snowflake. Strong communication and mentorship are valued.

Qualifications

• A Bachelor's degree or higher in CS or related quantitative field.
• At least 2 years of distributed data experience and SQL experience.
• Strong programming experience in Python, Java, or Scala.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Develop data pipelines and platforms with emphasis on scalability and security.
• Architect and enforce data engineering patterns for quality and reusability.
• Communicate data outcomes clearly to stakeholders and drive alignment.

Skills

Python

Spark

SQL

Java

Scala

Data pipelines

Cloud experience

Airflow

Databricks

NoSQL databases

Snowflake

Redshift

MongoDB

Cassandra

DynamoDB

Dagster

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

EMR

Glue

Databricks

Job description

Capital One is seeking a Data Engineer 4 to join our Chicago or McLean offices. You will design, build, and scale cloud-first data pipelines, collaborating with agile teams and data scientists to solve real business problems.

Ideal candidates bring 4+ years in data engineering, strong Python/SQL skills, and hands-on cloud experience with Spark-based tech stacks such as Databricks, EMR, Glue, or Snowflake. Strong communication and mentorship are valued.