Senior Data Engineer - Cloud Data Pipelines & Resilience

Capital One; Chicago (IL); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking an experienced Data Engineer 4 (Cloud Operations Resilience Engineering) to join the MEG team. You will collaborate across agile teams to design, develop, test, and support cloud-first data solutions, focusing on scalability, reliability, and performance across data platforms.

In this role you will use Python, Spark, and cloud-based data warehousing like Databricks and Snowflake, while mentoring others and contributing to Capital One's data platform strategy across

Qualifications

• Bachelor's or higher in Computer Science or a related quantitative field.
• 4+ years in application development and 2+ years in distributed data.
• 2+ years with SQL and at least one programming language (Python/Java/Scala).

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence developers, data analysts, and data scientists with ML and lakehouse architectures.
• Build data pipelines and cloud data platforms focusing on scalability and resilience.

Skills

Python

SQL

Spark

Databricks

Snowflake

EMR

Airflow

NoSQL

Education

Bachelor's Degree in CS or related quantitative field

Tools

Databricks

Snowflake

EMR

Airflow

Dagster

MongoDB

Cassandra

DynamoDB

Job description

Capital One is seeking an experienced Data Engineer 4 (Cloud Operations Resilience Engineering) to join the MEG team. You will collaborate across agile teams to design, develop, test, and support cloud-first data solutions, focusing on scalability, reliability, and performance across data platforms.

In this role you will use Python, Spark, and cloud-based data warehousing like Databricks and Snowflake, while mentoring others and contributing to Capital One's data platform strategy across