Senior Staff Data Engineer (Remote-Eligible)

Capital One; Frankfort (KY); Remote; USD 286,000 - 327,000; Full time

Job summary

Capital One is seeking a Sr. Staff Data Engineer (Remote-Eligible) to lead advanced data platforms in the cloud. You will mentor engineers, drive data strategy, and collaborate across teams to deliver scalable data solutions.

Expertise across AWS, Spark, Snowflake, and Databricks will be leveraged to enable enterprise data sharing and governance. The role emphasizes leadership through technical contribution, architecture influence, and hands-on coding in Python/SQL/Java/Scala, with a focus on

Qualifications

• Bachelor’s Degree in Computer Science or related quantitative field.
• At least 9 years of experience in data engineering.
• At least 5 years of experience in data architecture.
• At least 3 years of experience building applications in AWS.
• At least 7 years of experience programming in Python, Java, or Scala.
• At least 6 years of experience designing and developing data pipelines.
• At least 4 years of experience in data modeling with relational and NoSQL databases.

Responsibilities

• Lead end-to-end data projects and design scalable data pipelines.
• Communicate with stakeholders and influence data strategy across the enterprise.
• Mentor engineers and actively recruit to grow Capital One Tech talent.
• Drive the data engineering practice roadmap, ensuring performance and governance.
• Collaborate to align multiple data systems with a unified data architecture.

Skills

Python

SQL

Java

Scala

AWS

Spark

Kafka

Education

Bachelor's degree in Computer Science or related quantitative field

Tools

Snowflake

Databricks

EMR

Glue

Airflow

Job description

Capital One is seeking a Sr. Staff Data Engineer (Remote-Eligible) to lead advanced data platforms in the cloud. You will mentor engineers, drive data strategy, and collaborate across teams to deliver scalable data solutions.

Expertise across AWS, Spark, Snowflake, and Databricks will be leveraged to enable enterprise data sharing and governance. The role emphasizes leadership through technical contribution, architecture influence, and hands-on coding in Python/SQL/Java/Scala, with a focus on