Senior Cloud Data Engineer - Resilience & Platforms

Capital One; Deerfield (IL); On-site; USD 209,000 - 239,000; Full time

Benefits offered by this job

Incentives program

Health benefits

Job summary

Capital One is seeking a Data Engineer to join the team in Riverwoods, IL, delivering cloud-first data solutions and scalable pipelines. You will collaborate with Agile teams, data scientists, and engineers to drive architectural decisions and mentor others.

The role emphasizes independent design and deployment of data platforms, with opportunities to work across large-scale data initiatives and influence technology choices such as Snowflake and Databricks.

Qualifications

• Bachelor's degree in CS or related quantitative field.
• 6+ years of experience in application development.
• 4+ years of distributed data experience.
• 4+ years of SQL experience.
• 4+ years programming in Python/Java/Scala.
• 4+ years designing and developing data pipelines.
• 2+ years data modeling with relational and NoSQL databases.

Responsibilities

• Collaborate with Agile teams to design and implement data solutions.
• Build cloud-first data pipelines and platforms with emphasis on scalability.
• Mentor peers and drive architectural decisions across data platforms.
• Evaluate Snowflake vs Databricks based on requirements.
• Partner with product managers and engineers to deliver robust data experiences.

Skills

Python

SQL

Spark

Cloud platforms

Distributed data

Education

Bachelor's Degree in Computer Science or related quantitative field

Master’s Degree preferred

Tools

Databricks

Snowflake

EMR

Airflow

Job description

Capital One is seeking a Data Engineer to join the team in Riverwoods, IL, delivering cloud-first data solutions and scalable pipelines. You will collaborate with Agile teams, data scientists, and engineers to drive architectural decisions and mentor others.

The role emphasizes independent design and deployment of data platforms, with opportunities to work across large-scale data initiatives and influence technology choices such as Snowflake and Databricks.