Senior Data Engineer — Cloud-First Data Pipelines

Able Too Work; Chicago (IL); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Data Engineer 5 in Chicago to design and deliver cloud-first data solutions. You’ll collaborate with analytics and engineering teams to build scalable data pipelines, using Python/SQL and platforms like Databricks and Snowflake.

You’ll lead transformative data initiatives, mentor peers, and help align technical decisions with business goals, enabling richer customer experiences and financial empowerment.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• At least 6 years in application development; 4+ years in distributed data.
• 4+ years with SQL and 4+ years coding in Python/Java/Scala.
• Experience designing and developing data pipelines and models.

Responsibilities

• Design, develop, test, and support cloud data solutions and pipelines.
• Collaborate with Agile teams to deliver data-driven solutions.
• Influence teams with ML, microservices, lakehouse architecture, and full-stack systems.
• Architect data patterns for quality, maintainability, and scalability.
• Lead end-to-end data initiatives and evaluate platform choices like Snowflake vs Databricks.

Skills

Bachelor's Degree or higher

6+ years experience

4+ years distributed data

4+ years SQL

4+ years programming (Python/Java/Sca)

4+ years data pipelines

2+ years data modeling

Education

Bachelor's Degree in CS or related field

Master's Degree in CS or related field

Tools

EMR

Spark

Databricks

Snowflake

Job description

Capital One is seeking a Data Engineer 5 in Chicago to design and deliver cloud-first data solutions. You’ll collaborate with analytics and engineering teams to build scalable data pipelines, using Python/SQL and platforms like Databricks and Snowflake.

You’ll lead transformative data initiatives, mentor peers, and help align technical decisions with business goals, enabling richer customer experiences and financial empowerment.