Senior Data Engineer - Cloud Data Pipelines (Hybrid)

Capital One Group; Richmond (VA); Hybrid; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 (Manager, IC) to drive data platforms and cloud-based solutions in a hybrid work setup. The role collaborates with Agile teams, guides engineers, data analysts, and scientists, and shapes data pipelines at scale for nationwide customer impact.

You will work with Python, Spark and modern data stacks (Databricks, Snowflake) while advancing distributed data architectures and data modeling. This is a high-visibility, leadership-oriented IC/manager track.

Qualifications

• Bachelor's Degree in Computer Science or a related quantitative field.
• At least 4 years of application development experience.
• At least 2 years of distributed data experience.
• At least 2 years of experience with SQL.
• At least 2 years of experience in data pipeline design and development.
• At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement and support full-stack data solutions.
• Influence a team of developers, data analysts and data scientists across machine learning and lakehouse architectures.
• Build cloud-first data solutions using Python, Spark, and cloud data warehousing platforms like Databricks and Snowflake.
• Mentor other data team members and share knowledge on data trends and new technologies.
• Design data pipelines for scalability, resilience, and operational efficiency across platforms.

Skills

Python

SQL

Spark

Education

Bachelor's Degree in Computer Science or related quantitative field

Tools

Databricks

Snowflake

EMR

Glue

Job description

Capital One is seeking a Data Engineer 4 (Manager, IC) to drive data platforms and cloud-based solutions in a hybrid work setup. The role collaborates with Agile teams, guides engineers, data analysts, and scientists, and shapes data pipelines at scale for nationwide customer impact.

You will work with Python, Spark and modern data stacks (Databricks, Snowflake) while advancing distributed data architectures and data modeling. This is a high-visibility, leadership-oriented IC/manager track.