Jobs / United States / Gibson Dunn & Crutcher Llp
Senior Data Engineer
Gibson Dunn & Crutcher Llp · 🇺🇸 New York City; Washington, D.C.
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 37 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 2 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.
- 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 — Gibson Dunn & Crutcher Llp
The US Department of Labor certified 37 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 2 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 Gibson Dunn & Crutcher Llp →
About the role
Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision. Based in Washington D.C. or New York, the Senior Data Engineer will be responsible for designing, building, and operating the data platforms that power enterprise reporting, analytics, and artificial intelligence across the firm. The role spans the full data lifecycle: ingesting data from diverse operational systems, curating it within scalable data lakes and warehouses, and delivering high-quality, model-ready datasets to analysts, data scientists, and AI/ML workflows. This role blends hands-on data platform engineering with database and reporting expertise. This role reports to the Director, Product & Engineering . Primary applications and platforms include: • Document Management: iManage (cloud), SPM, Litera CAM • Finance: Aderant Expert Sierra, Chrome River, Time Entry • HR: PeopleSoft, Workday • Enterprise data lake, data warehouse, and analytics platforms Responsibilities include: Data Platform, Data Lake & Pipeline Engineering • Design, build, and maintain scalable data lakes, warehouses, and lakehouse environments (on-premises and/or cloud) to consolidate data from diverse enterprise sources. • Develop and orchestrate reliable, automated ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data. • Implement layered data architectures (e.g., raw / curated / consumption or bronze / silver / gold layers) that support reuse across reporting, analytics, and AI workloads. • Monitor and maintain pipelines proactively to ensure high availability, timeliness, and data freshness. • Apply data quality, validation, and error-handling practices to ensure accuracy, completeness, and consistency. • Establish and maintain data lineage, cataloging, and metadata to support governance and traceability. Data for AI / Machine Learning • Collaborate with data scientists and ML practitioners to curate, prepare, and serve high-quality datasets for model training, fine-tuning, and inference. • Build and maintain pipelines that transform raw enterprise data into clean, model-ready datasets. • Support feature engineering, feature stores, and reusable data products for AI/ML use cases. • Enable AI-oriented data patterns such as embedding pipelines and retrieval-augmented workflows, and support integration with vector stores where appropriate. • Partner with engineering teams to operationalize data workflows that keep models supplied with reliable, well-governed data. Database Administration & Operational Support • Administer, monitor, and maintain relational database environments (on-premises and/or cloud). • Perform and automate routine operations, including: • Backups and restores (full, differential, and log). • Integrity checks and consistency validation. • Index maintenance and statistics updates. • Monitor and troubleshoot performance issues, including CPU, memory, and I/O bottlenecks, as well as blocking, deadlocks, and long-running queries. • Implement performance tuning strategies such as query optimization, execution plan analysis, and index design and review. • Manage database availability and resilience, including high availability, clustering, and disaster recovery planning and validation. • Coordinate patching, upgrades, and service releases. • Ensure security and compliance through access controls, permissions, encryption, auditing, and vulnerability mitigation. • Support scheduled jobs, ETL processes, and automated data workflows. Query & Data Performan