Jobs / United States / Capital One Services LLC
Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)
Capital One Services LLC · 🇺🇸 3 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).
- Last confirmed live 2 days agoWhen 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
Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you’ll 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—focusing on data modeling, data quality, governance, permissible use, and scalable pipeline development. In this role within the Marketing and Messaging engineering group, you will be at the forefront of driving a major technical transformation. Your team builds scalable platforms that deliver hyper-personalized, omnichannel messages and experiences across owned and paid Adtech channels to help millions of Americans achieve financial empowerment. What You’ll Do • Architect & Build: Independently design, develop, test, and deploy resilient, scalable, cloud-first data solutions, lakehouse architectures, and real-time streaming data pipelines. • Technical Leadership & Mentorship: Lead and influence cross-functional Agile teams (developers, data analysts, and data scientists). Enforce common data engineering design patterns to ensure code quality, maintainability, and operational efficiency. • Modern Tech Stack: Leverage programming languages like Python, SQL, Scala, Spark, along with NoSQL databases, open-source RDBMS, and cloud data platforms such as Databricks and Snowflake. • Governance & Security: Implement data security standards (encryption at rest/in transit, fine-grained access control) and uphold strict standards for data quality, governance, and permissible use. • Cross-Functional Collaboration: Partner with digital product managers and software engineers to deliver robust solutions that meet business demands and enhance customer experiences. • Ambassador & Innovator: Communicate technical concepts and data outcomes clearly to both technical and non-technical stakeholders. Stay on top of tech trends, participate in engineering communities, and leverage interactive AI tooling (e.g., Claude Code, GitHub Copilot) to accelerate delivery. • Code Quality & Reliability: Perform unit tests, conduct peer code reviews, and optimize systems for performance, observability, and downstream consumers. Basic Qualifications: • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) • At least 4 years of experience in application development (Internship experience does not apply) • At least 2 years of experience in distributed data • At least 2 years of experience with SQL • At least 2 years of experience with one programming language (Python, Java, or Scala) • At least 2 years of experience in data pipeline design and development • At least 1 year 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 Computer Science, Data Engineering, Information Systems, or a related technical field. • 7+ years of experience in application development using languages such as Python, SQL, Spark, Scala, or Java. • 4+ years of hands-on experience designing, deploying, and operating data workloads in a public cloud environment (AWS, Azure, or GCP). • 4+ years of experience building distributed data/computing workloads using tools like EMR, Spark, AWS Glue, Databricks, MapReduce, Hadoop, or Hive. • 4+ years of experience designing, implementing, and operating real-time and streaming data applications (e.g., Kafka).