Jobs / United States / Adobe INC
Lead Data Engineer
Adobe INC · 🇺🇸 San Jose
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 1,036 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 221 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 Adobe INC paid sponsored hires in similar roles170 certified filings for “Machine Learning Engineer” (Data Scientists) in CA: $164k–$215k, median $184k. Most were filed at wage level II (45%) — 2 lottery entries, ≈31% 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 — Adobe INC
The US Department of Labor certified 1,036 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 221 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 Adobe INC →
About the role
The Opportunity The Marketing Operations and Engineering team in Growth Marketing and Insights (GMI) handles data architecture, transformation, and engineering for GMI under the Marketing org. We manage backend data for marketing measurement tools and processes such as attribution, product and customer segmentation, and lifetime value. We're looking for a Lead Data Engineer to build and own the data foundation behind Adobe's marketing measurement platform. You will collaborate with business analysts and data scientists to define requirements for new and existing models. You will build data pipelines, improve ETL processes, maintain data quality, and seek ways to boost efficiency and automation in daily tasks. You will oversee the data platform behind Adobe’s marketing models and other marketing measurement and reporting tools used company-wide. The initial focus of this role is Adobe’s B2B marketing and sales data, though the scope is encouraged to grow beyond B2B as the team’s remit expands. What you'll Do We are seeking a proven contributor who will provide support in data engineering, building data assets, and software applications. This individual should be able to provide technical direction and system architecture advice for individual initiatives. • Collaborate with key partners and apply your technical proficiency across different stages of the software development process, including requirements elicitation, application architecture definition, and build. • Play a meaningful role in composing high-level design artifacts. • Deliver high-quality code for a module, lead validation across all types of testing, and support activities related to implementation and transition. • Assume responsibility for restructuring the database to better support data scientists and business analysts across the marketing organization. • Scope requirements, connect data sources, and build ETL processes to support new products and routes to market as the team expands campaign measurement products and models for Adobe’s B2C and B2B business units. • Collaborate with Marketing, Finance, and Sales groups to ensure data accuracy and conduct root cause analysis when inconsistencies occur in the data. • Incorporate AI coding tools like Claude Code, Cursor, or GitHub Copilot into the development process. These tools help scaffold pipelines, generate tests, and speed up code reviews. You will still be responsible for the quality and accuracy of all production code. • Find opportunities to automate recurring engineering work — pipeline monitoring, failure triage, documentation — using scripted workflows or AI agents where they genuinely save the team time. What you need to succeed • BS/MS in Computer Science or equivalent experience, with 8+ years of data engineering experience. • Proven expertise in SQL, Python, Spark, and data pipeline orchestration tools (e.g., Airflow, dbt). • Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-based analytics environments such as Databricks. • Practical, hands-on experience applying AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) in real engineering tasks — not merely casual experimentation. • Comfortable evaluating, and where useful building, lightweight automated or intelligent agents to handle repetitive engineering tasks such as monitoring, alerting, or root cause analysis. • Experience working alongside data scientists and BI engineers to provide actionable insights. • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical collaborators. • Genuine interest in data-driven development and a track record of shipping reliable data products. • Background supporting agile marketing or growth teams