Senior Data Engineer: ML, Lakehouse & Cloud Pipelines

Capital One Group; McLean (VA); Hybrid; USD 179,000 - 225,000; Full time

Job summary

Capital One is seeking a Data Engineer 4 for HR Technology to design and deliver cloud-first data solutions. You will work with Agile teams to build scalable pipelines, mentor teammates, and ensure data security across platforms.

The role requires strong Python/SQL skills, distributed data experience, and hands-on work with Databricks, Snowflake, and related tools in a modern data stack.

Qualifications

• Bachelor's degree or higher in Computer Science or related quantitative field.
• At least 4 years of application development experience.
• At least 2 years of distributed data experience.
• At least 2 years of SQL experience.
• At least 2 years of programming in Python, Java, or Scala.
• At least 2 years of data pipeline design and development.
• At least 1 year of data modeling using relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Mentor other data engineers and analysts on data architecture and patterns.
• Design scalable data pipelines and lakehouse architectures.
• Ensure data security and access controls across platforms.

Skills

Python

SQL

Java

Scala

Spark

Cloud platforms

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

EMR

Spark

Databricks

Snowflake

Redshift

Airflow/Dagster

Job description

Capital One is seeking a Data Engineer 4 for HR Technology to design and deliver cloud-first data solutions. You will work with Agile teams to build scalable pipelines, mentor teammates, and ensure data security across platforms.

The role requires strong Python/SQL skills, distributed data experience, and hands-on work with Databricks, Snowflake, and related tools in a modern data stack.