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Capital One

via Lensa

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Senior Data Engineer - Capital One Software (Remote)

Anywhere
full-time
Posted 9/11/2025
Key Skills:
Cloud Platforms (AWS, Azure, Google Cloud)
Python
Java
Scala
Big Data Technologies (Spark, Hadoop, Kafka)
SQL
Data Modeling
ETL Design
Data Warehousing
Machine Learning Pipelines
MLOps
Docker
Kubernetes
Agile Methodologies

Compensation

Salary Range

$120K-160K a year

Responsibilities

Design, develop, and optimize scalable data pipelines and infrastructure to support analytics and machine learning initiatives in a cloud environment.

Requirements

5+ years of data engineering experience with proficiency in cloud platforms, programming languages, big data technologies, and data modeling.

Full Description

Job Title: Senior Data Engineer - Capital One Software (Remote) Company Overview: Capital One is a leading financial services company committed to using technology and data to transform the banking experience. Since launching our first credit card in 1994, we have been pioneers in leveraging cloud technology to deliver innovative and personalized solutions to millions of customers nationwide. Role Overview: As a Senior Data Engineer at Capital One, you will play a critical role in designing, building, and optimizing data pipelines and infrastructure that support our advanced analytics and machine learning initiatives. You will collaborate with cross-functional teams to ensure data accessibility, quality, and security across the organization. What You'll Do: - You will design, develop, and maintain scalable data pipelines and ETL processes using modern cloud technologies. - You will collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver robust solutions. - You will optimize data workflows for performance, reliability, and cost-efficiency in a cloud environment. - You will implement data governance and security best practices to protect sensitive information. - You will troubleshoot and resolve data-related issues to ensure data integrity and availability. - You will mentor junior engineers and contribute to the continuous improvement of engineering practices. - You will stay current with emerging data technologies and recommend their adoption where appropriate. What You Bring: - 5+ years of experience in data engineering or related roles, preferably in financial services. - Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. - Strong programming skills in Python, Java, or Scala. - Experience with big data technologies like Spark, Hadoop, or Kafka. - Solid understanding of SQL and relational databases. - Familiarity with data modeling, ETL design, and data warehousing concepts. Bonus Points If You Have: - Experience with machine learning pipelines and MLOps. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Certifications in cloud technologies or data engineering. - Experience working in an Agile development environment. What We Offer: - We offer a fully remote work environment with flexible hours to support work-life balance. - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer opportunities for professional growth through training, mentorship, and career development programs. - We offer a collaborative and inclusive culture that values innovation and diversity. - We offer access to cutting-edge technology and tools to empower your work. Ready to Apply? To join our team as a Senior Data Engineer, please submit your resume and cover letter through the Capital One careers website. We look forward to exploring how you can contribute to our data-driven future.

This job posting was last updated on 9/11/2025

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