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Capital One

via Lensa

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Distinguished Data Engineer - Capital One Software (Remote)

Anywhere
full-time
Posted 9/11/2025
Key Skills:
Big Data Technologies
Hadoop
Spark
Kafka
Cloud Platforms (AWS, Azure, GCP)
Python
Java
Scala
Data Architecture
ETL
Data Warehousing
Machine Learning Pipelines
Docker
Kubernetes
Real-time Data Processing

Compensation

Salary Range

$150K-220K a year

Responsibilities

Lead the design, development, and optimization of scalable data pipelines and architectures while collaborating with cross-functional teams and mentoring junior engineers.

Requirements

10+ years of experience in data engineering with expertise in big data technologies, programming languages, and scalable data architecture design.

Full Description

Job Title: Distinguished 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 innovative technology to deliver personalized financial solutions to millions of customers. Our culture fosters creativity, collaboration, and continuous learning, making us a top choice for tech professionals. Role Overview: As a Distinguished Data Engineer at Capital One, you will play a critical role in shaping the future of data infrastructure and analytics. You will lead complex projects, design scalable data solutions, and collaborate with cross-functional teams to drive data-driven decision-making across the organization. What You'll Do: - You will design, develop, and optimize large-scale data pipelines and architectures. - You will lead technical strategy and innovation for data engineering initiatives. - You will collaborate with data scientists, analysts, and software engineers to integrate data solutions. - You will mentor and guide junior engineers to foster technical growth and best practices. - You will ensure data quality, security, and compliance across all data platforms. - You will evaluate and implement new data technologies and tools to improve efficiency. - You will contribute to the development of data governance policies and standards. - You will communicate complex technical concepts to both technical and non-technical stakeholders. What You Bring: - 10+ years of experience in data engineering or related fields. - Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP). - Strong programming skills in Python, Java, or Scala. - Proven experience designing and implementing scalable data architectures. - Deep understanding of data modeling, ETL processes, and data warehousing. - Excellent problem-solving, communication, and leadership skills. Bonus Points If You Have: - Experience with machine learning pipelines and AI integration. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Familiarity with real-time data processing and streaming analytics. - Advanced degree in Computer Science, Engineering, or related field. What We Offer: - We offer a competitive salary and comprehensive benefits package. - We offer flexible remote work options to support work-life balance. - We offer opportunities for professional development and continuous learning. - We offer a collaborative and inclusive work environment. - We offer access to cutting-edge technology and tools. Ready to Apply? To join our innovative team at Capital One, please submit your resume and cover letter through our careers portal at www.capitalone.com/careers. We look forward to exploring your potential with us!

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

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