Cloud Data Engineer — Resilience & Platform Automation

Capital One; Richmond (VA); On-site; USD 209,000 - 239,000; Full time

Benefits offered by this job

Performance-based incentives

Job summary

Capital One is seeking a Data Engineer 5 (Cloud Operations Resilience Engineering) to lead and deliver robust cloud data solutions at scale in a fast-paced environment. You will collaborate with Agile teams, data scientists and product managers to design, build and optimize data pipelines and platforms across AWS, Snowflake, and Databricks.

The role requires 6+ years in data engineering, proficiency in Python, SQL, Spark, and experience with distributed data systems, data modeling, and real-time

Qualifications

• Bachelor's degree in Computer Science or a related quantitative field.
• At least 6 years of experience in application development.
• At least 4 years of experience in distributed data and in SQL.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence a team of developers, data analysts and data scientists.
• Design and build cloud data pipelines with a focus on scalability and resilience.

Skills

Python

Spark

SQL

Data pipelines

NoSQL

Snowflake

Databricks

Machine learning concepts

Education

Bachelor's degree in CS or related field

Master’s degree (preferred)

Tools

Databricks

Snowflake

EMR

Airflow

Dagster

Job description

Capital One is seeking a Data Engineer 5 (Cloud Operations Resilience Engineering) to lead and deliver robust cloud data solutions at scale in a fast-paced environment. You will collaborate with Agile teams, data scientists and product managers to design, build and optimize data pipelines and platforms across AWS, Snowflake, and Databricks.

The role requires 6+ years in data engineering, proficiency in Python, SQL, Spark, and experience with distributed data systems, data modeling, and real-time