Jobs / United States / Netbrain Technologies INC
Data Analytics Engineer
Netbrain Technologies INC · 🇺🇸 United States | Remote · Remote
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 6 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 1 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 Netbrain Technologies INC paid sponsored hires in similar roles4 certified filings for “Network Automation Services Engineer” (Network and Computer Systems Administrators) in MA: $125k–$125k, median $125k. Most were filed at wage level III (75%) — 3 lottery entries, ≈46% 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.
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Sponsor Radar — Netbrain Technologies INC
The US Department of Labor certified 6 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 1 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 Netbrain Technologies INC →
About the role
Founded in 2004, NetBrain is the leader in no-code network automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud connected networks by automating the processes associated with Diagnostic Troubleshooting, Outage Prevention and Protected Change Management. Today, over 2,500 of the world’s largest enterprises and managed services providers leverage NetBrain’s platform. What We Need NetBrain doesn’t have a data warehouse today — different teams work from different numbers, with no standardized reporting layer or single source of truth for the business. We’re hiring a Senior Analytics Engineer to fix that: architecting and standing up our first cloud data warehouse, and building the transformation layer, ELT pipelines, and governance that our analytics function will run on. You’ll own the technical infrastructure that makes reliable measurement possible — warehouse, pipelines, and transformations — while partnering closely with the business stakeholders who define what we measure and why. This is a foundational build with high visibility: the semantic layer you help stand up is also core to how NetBrain uses AI internally to query and report on its own data. What You'll Do • Architect and maintain NetBrain’s cloud data warehouse, • Own warehouse transformations end to end — from raw ingestion through documented, stable tables that downstream teams and tools depend on. • Design and maintain ELT pipelines that bring raw data from tools across GTM, Finance, and Product into the warehouse. • Contribute to the technical foundation of our BI tool — semantic layer, metric definitions, and access model — that powers executive reporting and NetBrain’s internal AI use cases. • Own data quality, governance, and lineage: freshness checks, testing, access controls, and a documented source of truth. • Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting. What You Bring • 6+ years in analytics engineering, data engineering, or a similar role, with real ownership of production data models. • Strong SQL and a track record shipping analytical models that other teams depend on. • Hands-on experience with a modern cloud data warehouse (Snowflake preferred, or comparable platforms like BigQuery). • Extensive experience with a transformation framework such as dbt or SQLMesh. • Scripting ability (Python or similar) for ingestion, validation, or automation. • Experience with a BI or semantic-layer tool (e.g., Omni, Looker, Tableau). • Sound judgment around data access, governance, and handling of sensitive data. • Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer. • Stationary Tasks: Sitting for extended periods, remaining in a stationary position. Nice to Have • Experience building the technical foundation for AI-assisted or natural-language reporting — semantic layers built to support LLM or agent-based tools. • Familiarity with GTM and Customer Success data sources such as Salesforce, Gainsight, or HubSpot. • Experience applying machine learning or statistical forecasting techniques (e.g., time-series and churn-propensity models) to predict key business metrics such as ARR and customer retention. What We Offer Our comprehensive compensation package is vital in how we recognize our people for the impact they make on us reaching our goals as a company. For this role, the estimated base is $160,000 - $190,000 + Bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process. The range listed above is a guideline and may be modified. People Experience offers a com