Senior Distinguished Data Engineer (Remote-Eligible)

Capital One • McLean, VA

2d • $286,200 - $392,000 • Remote

About The Position

Senior Distinguished Data Engineer (Remote-Eligible) Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Capital One’s Enterprise Data business unit drives the company’s data strategy, focusing on governance, analytics, and AI integration to support banking innovations. It operates under a “You Build, Your Data” model that balances team autonomy with centralized standards. At Capital One, you will be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Distinguished Data Engineer, you will have the opportunity to be on the forefront of driving a major transformation within Capital One. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities

Requirements

• Bachelor’s Degree
• 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

Nice To Haves

• Masters’ Degree
• 10+ years of experience in data engineering
• 3+ years of data modeling experience
• 2+ years of experience with ontology standards for defining a domain
• 2+ years of experience using Python, SQL or Scala
• 1+ year of experience deploying machine learning models
• 3+ years of experience implementing big data processing solutions on AWS

Responsibilities

• Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
• Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
• Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
• Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
• Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
• Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level