Distinguished Data Engineer

Capital One • McLean, VA

3d

About The Position

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. Be responsible for defining the strategic vision, overseeing the development, and managing the growth of an organization's autonomous AI systems and platforms. This position requires a combination of strategic thinking, technical expertise in AI/ML, and strong leadership to align the platform with business goals, build and manage teams, and drive innovation. Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One Develop and execute the strategic vision and roadmap for the agentic AI platform, ensuring it aligns with organizational priorities. Guide technical teams, set best practices for AI orchestration, MLOps, and application development, and ensure platform scalability and reliability. 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 7 years of experience in data engineering (e.g. Hadoop, AWS, Snowflake)
• At least 3 years of experience in data architecture
• At least 2 years of experience building applications in AWS
• At least 5 years of experience of Python, SQL or Scala
• At least 3 years of experience developing AI and ML algorithms or technologies

Nice To Haves

• Masters’ Degree
• 5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• 3+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
• 3+ years of experience implementing big data processing solutions on AWS or any Hadoop environments

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