Sr. Staff Data Engineer

About the role

Sr. Staff Data Engineers are individual contributors who bring diverse thought to visualize problem spaces and deliver next‑generation technology solutions. You will join the Pipelines and External Data team within Enterprise Data, serving as a senior‑director‑level individual contributor. The role combines visionary leadership with hands‑on development, driving technical strategy for data pipelines and sharing capabilities used across all lines of business, both internal and external. Core focus areas include innovation, best practices, delivery acceleration, platform scalability, operational excellence, performance, resiliency, and mentorship of other engineers.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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 a 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.

Basic Qualifications

• 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.

Preferred Qualifications

• Master’s 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.
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.

Pay

Remote (regardless of location): $286,200 – $326,700

McLean, VA: $314,800 – $359,300

New York, NY: $343,400 – $392,000

Richmond, VA: $286,200 – $326,700

Candidates hired in other locations will receive the pay range associated with that location. This role is also eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt status, and management level.