Senior Data Engineer — Python, Cloud & Data Pipelines

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

Job summary

Capital One is seeking a Data Engineer 4 to join a team focused on cloud-first data solutions. The role involves building data pipelines, collaborating with Agile teams, and mentoring others while using Python, Spark, and modern data platforms such as Databricks and Snowflake.

The candidate will design scalable data architectures, enforce data security, and work with both relational and NoSQL databases to deliver robust data products for millions of customers.

Qualifications

• Bachelor’s degree in a quantitative field or CS/related discipline.
• 2+ years in distributed data or data pipelines.
• 2+ years of SQL experience.
• 2+ years in one programming language (Python/Java/Scala).
• 2+ years in data modeling and end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support technical solutions.
• Utilize Python, Spark, and cloud data warehousing tools (Databricks, Snowflake).
• Design scalable data pipelines with secure data practices and data quality.

Skills

Python

SQL

Distributed data

Education

Bachelor's Degree or higher in Computer Science or related field

Tools

Oracle Database

Databricks

Snowflake

EMR

Airflow

Dagster

Job description

Capital One is seeking a Data Engineer 4 to join a team focused on cloud-first data solutions. The role involves building data pipelines, collaborating with Agile teams, and mentoring others while using Python, Spark, and modern data platforms such as Databricks and Snowflake.

The candidate will design scalable data architectures, enforce data security, and work with both relational and NoSQL databases to deliver robust data products for millions of customers.