Senior Staff Data Engineer (Remote-Eligible) — Data Platform

Capital One; Cheyenne (WY); Remote; USD 286,000 - 327,000; Full time

Job summary

Capital One seeks a Senior Staff Data Engineer to lead data pipelines, platform strategy, and data sharing capabilities across the organization. You will work with AWS, Lakehouse architectures, and distributed data tools to deliver scalable, governed data solutions for multiple business lines.

The role emphasizes technical leadership, collaboration across teams, and mentoring engineers while driving innovation in data engineering, AI, and cloud-native platforms.

Qualifications

• Bachelor’s Degree in Computer Science or a 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 and end-to-end data solutions.

Responsibilities

• Build and promote adoption of modern data technologies across the enterprise.
• Act as trusted advisor and mentor to engineers, guiding architectural decisions.
• Drive engineering excellence and reusable solutions across Capital One Tech.
• Communicate with stakeholders to align on data strategy and roadmaps.
• Lead end-to-end design, coding, and implementation of critical data projects.
• Recruit and mentor talent to grow the data engineering community.

Skills

Python

SQL

Scala

Java

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Computer Science or related field

Tools

AWS

Snowflake

Databricks

Kafka

Flink

Spark

EMR

Glue

Job description

Capital One seeks a Senior Staff Data Engineer to lead data pipelines, platform strategy, and data sharing capabilities across the organization. You will work with AWS, Lakehouse architectures, and distributed data tools to deliver scalable, governed data solutions for multiple business lines.

The role emphasizes technical leadership, collaboration across teams, and mentoring engineers while driving innovation in data engineering, AI, and cloud-native platforms.