Senior Cloud Data Engineer: Resilient Data Pipelines

Capital One; United States; Remote; USD 179,000 - 246,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 for Cloud Operations Resilience Engineering to drive cloud-first data solutions. You will design, build, and operate scalable data pipelines, collaborating with data engineers, analysts, and data scientists across Agile teams.

Ideal candidates have 4+ years in data engineering, strong Python/SQL, and hands-on cloud experience with AWS, Azure, or Google Cloud. This role offers locations in Plano, McLean, Richmond, New York, Riverwoods and other sites, with

Qualifications

• BS in CS or related quantitative field.
• At least 4 years in application development.
• At least 2 years in distributed data and SQL.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support full-stack data solutions.
• Architect and deliver cloud-first data pipelines and platforms with a focus on scalability and resilience.
• Ensure data security standards and access controls across data platforms.
• Mentor team members and communicate data outcomes to stakeholders.

Skills

Python

Spark

SQL

Distributed data

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Airflow

Job description

Capital One is seeking a Data Engineer 4 for Cloud Operations Resilience Engineering to drive cloud-first data solutions. You will design, build, and operate scalable data pipelines, collaborating with data engineers, analysts, and data scientists across Agile teams.

Ideal candidates have 4+ years in data engineering, strong Python/SQL, and hands-on cloud experience with AWS, Azure, or Google Cloud. This role offers locations in Plano, McLean, Richmond, New York, Riverwoods and other sites, with