Cloud Data Engineer - Resilience & Observability Lead

Capital One; United States; Remote; USD 209,000 - 286,000; Full time

Job summary

Capital One is seeking a Data Engineer 5 (Cloud Operations Resilience Engineering) to join a dynamic team in a fast-paced, collaborative setting. You will influence a broad group of developers, analysts, and data scientists, delivering cloud-first data solutions that scale across platforms and empower millions of Americans.

You’ll design, build, and deploy end‑to‑end data pipelines with an emphasis on resilience and performance.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field.
• At least 6 years of experience in application development.
• At least 4 years of experience in distributed data.
• At least 4 years of experience with SQL.
• At least 4 years of experience programming with Python, Java, or Scala.
• At least 4 years of experience designing and developing data pipelines.
• At least 2 years of experience in data modeling and end‑to‑end data solutions using relational and non‑relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
• Lead data engineering efforts with cloud-first data solutions.
• Design scalable data pipelines and platforms for high data volume and reliability.
• Mentor team members and evangelize data engineering best practices.
• Evaluate platform choices like Snowflake vs Databricks based on requirements.

Skills

SQL

Python

Java

Scala

Big data

Data pipelines

Cloud platforms

Education

Bachelor's degree

Master's degree

Tools

Databricks

Snowflake

EMR

Spark

Glue

Airflow

Dagster

Job description

Capital One is seeking a Data Engineer 5 (Cloud Operations Resilience Engineering) to join a dynamic team in a fast-paced, collaborative setting. You will influence a broad group of developers, analysts, and data scientists, delivering cloud-first data solutions that scale across platforms and empower millions of Americans.

You’ll design, build, and deploy end‑to‑end data pipelines with an emphasis on resilience and performance.