Senior Data Engineer: Cloud Data Pipelines & Platform Lead

Capital One Group; Chicago (IL); Hybrid; USD 209,000 - 239,000; Full time

Job summary

Capital One Group in Chicago is seeking a senior Data Engineer to design, build and optimize scalable data pipelines and lakehouse architectures.

You will collaborate with Agile teams, mentor peers, and lead end-to-end data initiatives leveraging Python, SQL, Spark, Snowflake, and Databricks in a cloud-first environment.

This full-time Chicago-based role offers a competitive salary range and comprehensive benefits under Capital One.

Qualifications

• Bachelor's degree in a quantitative field or related discipline.
• At least 6 years of application development experience and 4+ years in distributed data environments.
• 4+ years designing end-to-end data pipelines and data modeling across relational and non-relational systems.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Lead large-scale data initiatives and mentor engineers across the data platform.
• Architect scalable data pipelines with a focus on cloud data warehouses like Snowflake or Databricks.
• Communicate data outcomes clearly to stakeholders and drive alignment.

Skills

Python

SQL

Java

Spark

Snowflake

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

AWS

Airflow

NoSQL databases

Job description

Capital One Group in Chicago is seeking a senior Data Engineer to design, build and optimize scalable data pipelines and lakehouse architectures.

You will collaborate with Agile teams, mentor peers, and lead end-to-end data initiatives leveraging Python, SQL, Spark, Snowflake, and Databricks in a cloud-first environment.

This full-time Chicago-based role offers a competitive salary range and comprehensive benefits under Capital One.