Jobs / United States / Databricks
Staff Software Engineer, Ads Measurement & Orchestration
Databricks · 🇺🇸 New York City, New York
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 445 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 78 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 Databricks paid sponsored hires in similar roles15 certified filings for “Software Engineer” (Software Developers) in NY: $142k–$190k, median $161k. Most were filed at wage level IV (50%) — 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 — Databricks
The US Department of Labor certified 445 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 78 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 Databricks →
About the role
P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Enterprises spend more than $700 billion on digital advertising, however for the most part, they have very little data & intelligence on how their campaigns are performing. Reconciling that is slow, manual, and mostly wrong, and optimizing those campaigns historically has involved humans and agencies. We are building the data and agent layer underneath that problem, and we are looking for an engineer to help lead that effort. The impact you'll have: • Lead the ingest and normalization path for advertising platform data at scale, including rate limits, schema drift, backfills, and restated numbers • Design the aggregation and identity layers that make figures from different platforms comparable • Lead development of agentic workflows that parse performance data, interpret it, present it, and act on it • Set the correctness and evaluation bar in a domain where ground truth is noisy and partially observable • Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth What we look for: • 10+ years of engineering experience, including time as a tech lead or leading other tech leads, on complex enterprise software projects • Hands-on experience with walled garden advertising APIs (Meta, Google, Amazon, TikTok) or the equivalent from the advertiser, agency, or DSP side • Working knowledge of ad tech data models: campaign hierarchies, attribution windows, conversion APIs, deduplication across sources • Familiarity with measurement approaches such as MTA, MMM, incrementality testing, and privacy-preserving aggregation • Experience shipping LLM-powered systems to production, including evaluation and guardrails • High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption • Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives • Combination of technical and people leadership, for example, as a TLM (Nice to have) • Built or operated measurement infrastructure at a platform, measurement vendor, or large advertiser (Nice to have) • Background in experimentation or causal inference (Nice to have) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your locati