Jobs / United States / Capital One Services LLC
Sr. Staff Data Engineer (Remote -Eligible)
Capital One Services LLC · 🇺🇸 4 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Capital One Services LLC paid sponsored hires in similar roles30 certified filings for “Data Engineer” (Data Scientists) in IL: $97k–$142k, median $129k. Most were filed at wage level IV (56%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Capital One Services LLC
The US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Capital One Services LLC →
About the role
Sr. Staff Data Engineer (Remote -Eligible) As a Senior Staff Data Engineer at Capital One, you will be part of a community of technical experts working to define the future of data platforms and banking in the cloud. You will work alongside our talented team of data engineers, data scientists, machine learning experts, product managers and people leaders. Our Senior Staff Data Engineers are leading experts in their domains, helping devise practical, scalable and reusable data solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while delivering strong data and technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep building our community. Senior Staff Data Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key data technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other materials to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. About the Team: You will join the Pipelines and External Data team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for data pipelines and sharing capabilities leveraged by all lines of business inclusive of both internal and external data availability. Your focus is on driving innovation, best practices, engineering / delivery acceleration, platform scalability, operational excellence, performance, resiliency, and being a beacon for other ICs. We require deep expertise in AWS infrastructure, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks mature these enterprise-scale systems and execute technical strategy. You will be both visionary, influential, and hands-on writing Python, SQL, Java, and/or Scala code. What You’ll Do: • 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 • Drive the strategic direction of the data engineering practice by continuously researching and assessing emerging trends in data, AI, and engineering, and developing a roadmap to integrate relevant innovations into the overall data platform • Lead strategic alignment and integration decisions across multiple data systems and business units, championing a unified