Jobs / United States / Capital One Services LLC
Data Engineer 5 (Python, SQL, Databricks, Snowflake) (Enterprise Platforms Technology)
Capital One Services LLC · 🇺🇸 6 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.
Or apply yourself on the official page →
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
Data Engineer 5 (Python, SQL, Databricks, Snowflake) (Enterprise Platforms Technology) Position Overview We are seeking a Data Engineer to develop the technical vision, architectural design, and implementation of our AI-enabling data ecosystem. In this strategic role, you will bridge the gap between traditional enterprise data architecture and modern AI capabilities. You will design resilient, scalable data pipelines, and real-time streaming architectures that power LLM workflows, Retrieval-Augmented Generation (RAG) pipelines, and predictive ML models. You will work closely with Data Scientists, Analysts, and other Engineers to establish best-in-class data engineering practices for traditional and AI enabled workloads. About the Team The Enterprise Platforms Tech Top of House Data & Analytics team serves as the strategic intelligence backbone for executive leadership and strategy. We operate at the intersection of business strategy, core enterprise infrastructure, and advanced analytics. Our team is responsible for delivering high-impact, enterprise-level data products, decisioning engines, and modern analytics capabilities that power executive level decision-making. Key Responsibilities • AI Architecture & Data Foundation: Architect, build, and scale clean, reliable, and latency-optimized data pipelines (batch and real-time) designed specifically to supply structured, semi-structured, and unstructured data to AI/ML applications and Large Language Models (LLMs). • Technical Leadership & Strategy: Contribute to defining the architectural blueprint for the Top of House AI data layer. Serve as a hands-on technical lead, guiding junior and mid-level engineers in coding standards, design patterns, and engineering excellence. • Data Governance, Security, & Lineage: Partner with Enterprise Security and Data Governance teams to implement robust data classification, privacy safeguards, and automated lineage tracking for AI models and training datasets. • Feature Engineering & Store: Build and maintain scalable feature stores to support both real-time inferencing and offline model training across executive-facing predictive models. • Performance & Cost Optimization: Audit and optimize cross-cloud data pipelines, query performance, and storage infrastructure for efficiency, cost management, and reliability. • Cross-Functional Collaboration: Partner directly with Technical Program Managers, Data Scientists, Top of House leads, and C-suite stakeholders to turn executive data needs into production-ready solutions. Basic Qualifications: • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) • At least 6 years of experience in application development (Internship experience does not apply) • At least 4 years of experience in distributed data • At least 4 years of experience with SQL • At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala • At least 4 years of experience designing and developing data pipelines • At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems Preferred Qualifications: • Master's Degree in a related field • 9+ years of experience in application development including Python, SQL, Scala, or Java • 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) • 5+ year experience working on real-time data and streaming applications • 5+ years of data warehousing experience (eg Snowflake) • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion (Claude, Gemini) C