Senior Data Engineer: Cloud Data Platforms & ML

Capital One Group; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 (Manager, IC) to drive transformation across the company. You will collaborate with Agile teams to design, develop and deploy data solutions using Python, Spark, Databricks and Snowflake.

You will mentor other data professionals, evangelize modern data practices, and deliver scalable pipelines that support millions of customer experiences while maintaining strong security and governance.

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field.
• At least 4 years of experience in application development.
• At least 2 years of experience with SQL and one programming language (Python, Java, or Scala).
• At least 2 years of experience in data pipeline design and development.
• At least 1 year of experience in data modeling and end-to-end data solutions using relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Lead a team of developers, data analysts and data scientists.
• Utilize Python, Spark and cloud-based data warehousing platforms like Databricks and Snowflake.
• Mentor data community members and stay updated on data trends.
• Deliver cloud-first data solutions that enable financial empowerment for customers.
• Design and deliver scalable, resilient data pipelines and platforms.

Skills

Python

Spark

SQL

Data modeling

Data pipelines

NoSQL databases

Cloud data warehousing

Databricks

Snowflake

ETL processes

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

Job description

Capital One is seeking a Data Engineer 4 (Manager, IC) to drive transformation across the company. You will collaborate with Agile teams to design, develop and deploy data solutions using Python, Spark, Databricks and Snowflake.

You will mentor other data professionals, evangelize modern data practices, and deliver scalable pipelines that support millions of customer experiences while maintaining strong security and governance.