Senior Data Engineer, Pipelines & Platform (Remote)

Capital One National Association; McLean (VA); On-site; USD 315,000 - 359,000; Full time

Job summary

Capital One is seeking a Sr. Staff Data Engineer to drive the technical strategy for data pipelines and sharing capabilities across lines of business.

The role combines visionary leadership with hands-on engineering to build scalable, resilient data platforms using AWS, Lakehouse architectures, Kafka, Flink, Spark, Snowflake and Databricks. You will write Python, SQL, Java, and/or Scala, mentor teams, and influence stakeholders to accelerate delivery and innovation across Capital One's data

Qualifications

• Bachelor’s degree required.
• 9+ years in data engineering.
• 5+ years in data architecture.
• 3+ years building applications in AWS.

Responsibilities

• Build awareness and drive adoption of modern data technologies across teams.
• Influence stakeholders and promote engineering excellence across the enterprise.
• Mentor engineers and grow technical capabilities within Capital One.
• Lead the way in talent development and external recruiting for tech roles.

Education

Bachelor’s Degree

Masters’ Degree

Tools

AWS

Kafka

Flink

Spark

Snowflake

Databricks

Python

SQL

Java

Scala

Lakehouse architecture

Job description

Capital One is seeking a Sr. Staff Data Engineer to drive the technical strategy for data pipelines and sharing capabilities across lines of business.

The role combines visionary leadership with hands-on engineering to build scalable, resilient data platforms using AWS, Lakehouse architectures, Kafka, Flink, Spark, Snowflake and Databricks. You will write Python, SQL, Java, and/or Scala, mentor teams, and influence stakeholders to accelerate delivery and innovation across Capital One's data