$120K-160K a year
Design, develop, and maintain scalable data pipelines and infrastructure to support enterprise-wide data needs, ensuring data quality and security while collaborating with cross-functional teams.
5+ years of data engineering experience with proficiency in SQL, Python, cloud platforms, and data pipeline tools, along with strong problem-solving and collaboration skills.
Job Title: Senior Data Engineer (Enterprise Platforms Technology) Company Overview: Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small businesses, and commercial clients. Known for its innovative use of technology and data-driven approach, Capital One is committed to transforming the banking experience through cutting-edge solutions and a customer-first mindset. Role Overview: As a Senior Data Engineer within the Enterprise Platforms Technology team, you will play a critical role in designing, building, and maintaining scalable data infrastructure that supports Capital One's commercial operations. Your expertise will enable the seamless integration and processing of large datasets, empowering data-driven decision-making across the organization. What You'll Do: - You will design, develop, and optimize data pipelines and ETL processes to support enterprise-wide data needs. - You will collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver robust data 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, including automation and monitoring. - You will contribute to the architecture and strategy for scalable data infrastructure. - You will mentor junior engineers and share knowledge within the team. - You will stay current with emerging technologies and industry trends to continuously improve data engineering practices. What You Bring: - 5+ years of experience in data engineering or related roles. - Proficiency in SQL, Python, and data pipeline tools such as Apache Spark or Hadoop. - Strong experience with cloud platforms like AWS, Azure, or Google Cloud. - Solid understanding of data warehousing concepts and ETL design. - Experience with containerization and orchestration tools such as Docker and Kubernetes. - Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment. Bonus Points If You Have: - Experience in the financial services industry. - Knowledge of New Market Tax Credit and Alternative Energy tax credit operations. - Familiarity with data governance and compliance standards. - Advanced certifications in cloud technologies or data engineering. What We Offer: - We offer competitive salary and comprehensive benefits including health, dental, and vision insurance. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive work environment. - We offer wellness programs and employee resource groups. Ready to Apply? Please submit your resume and cover letter through the Capital One careers website. We look forward to learning how your skills and experience can contribute to our team.
This job posting was last updated on 9/9/2025