Staff Data Engineer (Hybrid) — Lead Data Platform & AI

Capital One Group; Richmond (VA); Hybrid; USD 245,000 - 307,000; Full time

Job summary

Capital One is seeking a Staff Data Engineer (Director, IC) to lead data platforms in the cloud. You will mentor engineers, shape architecture, drive data solutions across teams while partnering with product managers, data scientists and others to deliver impactful banking insights.

You will own end-to-end design and implementation of critical data projects, champion data governance and observability, and push for scalable, governed data workloads across the enterprise, while fostering an

Qualifications

• Bachelor's degree or higher in CS or related quantitative field.
• 7+ years in data engineering.
• 3+ years in data architecture.
• 2+ years building AWS applications.
• 5+ years programming in Python, Java, or Scala.
• 5+ years designing end-to-end data pipelines.
• 3+ years data modeling with relational and non-relational DBs.

Responsibilities

• Build awareness and adoption of modern data technologies.
• Balance expertise with inclusive collaboration to grow skills.
• Promote engineering excellence and reuse solutions.
• Communicate with stakeholders across the enterprise.
• Serve as advisor for technology domains and drive use cases.
• Mentor internal talent and assist recruiting.
• Shape data strategy and roadmap for platform.
• Align data systems and implement unified architecture.
• Create and socialize data strategy artifacts.
• End-to-end design and coding of critical data projects; mentor others.

Skills

Data engineering

Data architecture

AWS

Python/Java/Scala

Data pipelines

Data modeling

NoSQL

Streaming data

Education

Bachelor's degree or higher

Master's degree preferred

Tools

AWS

EMR

Spark

Glue

Databricks

Snowflake

Redshift

Job description

Capital One is seeking a Staff Data Engineer (Director, IC) to lead data platforms in the cloud. You will mentor engineers, shape architecture, drive data solutions across teams while partnering with product managers, data scientists and others to deliver impactful banking insights.

You will own end-to-end design and implementation of critical data projects, champion data governance and observability, and push for scalable, governed data workloads across the enterprise, while fostering an