Find your dream job faster with JobLogr
AI-powered job search, resume help, and more.
Try for Free
CO

Capital One

via Lensa

Apply Now
All our jobs are verified from trusted employers and sources. We connect to legitimate platforms only.

Senior Data Engineer (Enterprise Platforms Technology)

Anywhere
full-time
Posted 9/9/2025
Key Skills:
SQL
Python
Hadoop
Spark
AWS
Azure
Google Cloud
Data Modeling
ETL
Docker
Kubernetes
Data Governance

Compensation

Salary Range

$120K-160K a year

Responsibilities

Design, develop, and maintain scalable data pipelines and infrastructure to support enterprise data needs.

Requirements

5+ years of experience in data engineering with strong skills in SQL, Python, big data technologies, and cloud platforms.

Full Description

Job Title: Senior Data Engineer (Enterprise Platforms Technology) Company Overview: Capital One is a leading financial services company committed to innovation and customer-centric solutions. With a strong focus on technology and data-driven decision-making, we empower our teams to build scalable platforms that transform the banking experience. Role Overview: As a Senior Data Engineer within our Enterprise Platforms Technology team, you will play a critical role in designing, building, and maintaining robust data pipelines and infrastructure. Your work will enable seamless data integration and analytics across the organization, supporting strategic business initiatives. What You'll Do: - You will design, develop, and optimize scalable data pipelines and ETL processes. - You will collaborate with cross-functional teams to understand data requirements and deliver solutions. - You will ensure data quality, integrity, and security across multiple platforms. - You will troubleshoot and resolve data-related issues to maintain system reliability. - You will implement best practices for data engineering and contribute to architectural decisions. - You will mentor junior engineers and promote knowledge sharing within the team. - You will stay current with emerging technologies and recommend improvements. What You Bring: - You have 5+ years of experience in data engineering or related fields. - You possess strong skills in SQL, Python, and big data technologies such as Hadoop or Spark. - You have experience with cloud platforms like AWS, Azure, or Google Cloud. - You understand data modeling, warehousing, and ETL design principles. - You have excellent problem-solving skills and the ability to work collaboratively. Bonus Points If You Have: - Experience with containerization tools like Docker and orchestration platforms such as Kubernetes. - Familiarity with data governance and compliance standards. - Background in financial services or enterprise-scale data environments. - Knowledge of machine learning pipelines and data science collaboration. What We Offer: - We offer competitive salary and comprehensive benefits including health, dental, and vision coverage. - We offer flexible work arrangements including remote work options. - We offer professional development opportunities and support for continuous learning. - We offer a collaborative and inclusive work culture that values innovation. - We offer wellness programs and employee resource groups to support your well-being. Ready to Apply? Please visit our careers page at www.capitalone.com/careers to submit your application and join our dynamic team dedicated to transforming financial technology.

This job posting was last updated on 9/9/2025

Ready to have AI work for you in your job search?

Sign-up for free and start using JobLogr today!

Get Started »
JobLogr badgeTinyLaunch BadgeJobLogr - AI Job Search Tools to Land Your Next Job Faster than Ever | Product Hunt