Cloud Data Engineer (Python, Spark, AWS, Snowflake)

Capital One; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking Data Engineers to drive transformation in a fast-paced, collaborative environment. You’ll design, build, and optimize cloud-first data pipelines using Python, Spark, Databricks, and Snowflake.

You’ll partner with product managers, data scientists and software engineers to deliver scalable data platforms for millions of Americans. The role demands 4+ years in data engineering, strong SQL, and experience with distributed data and cloud environments (AWS/Azure/GCP).

Qualifications

• Bachelor's degree in CS or related quantitative field required.
• 4+ years of application development experience; internships excluded.
• 2+ years in distributed data and 2+ years SQL experience.
• 2+ years programming in Python, Java, or Scala.
• 2+ years data pipeline design and development.
• 1+ year data modeling with relational and NoSQL systems.

Responsibilities

• Collaborate with Agile teams to design, develop, test and support data solutions.
• Influence teams with ML, microservices, lakehouse architecture and full-stack systems.
• Build data pipelines and cloud data solutions for scalable, secure platforms.
• Mentor data engineers; share best practices and patterns.
• Ensure code quality, maintainability and reusability across pipelines.
• Communicate data outcomes clearly to stakeholders.

Skills

Python

SQL

Java

Scala

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Spark

Job description

Capital One is seeking Data Engineers to drive transformation in a fast-paced, collaborative environment. You’ll design, build, and optimize cloud-first data pipelines using Python, Spark, Databricks, and Snowflake.

You’ll partner with product managers, data scientists and software engineers to deliver scalable data platforms for millions of Americans. The role demands 4+ years in data engineering, strong SQL, and experience with distributed data and cloud environments (AWS/Azure/GCP).