Full-Time

Senior Data Engineer

Linero

Linero

Operational AI infrastructure for sensitive technologies

Compensation Overview

$160k - $250k/yr

+ Equity

No H1B Sponsorship

New York, NY, USA

Hybrid

Remote work may be accommodated initially for candidates relocating to New York City; relocation assistance is case-by-case.

US Citizenship Required

Category
Data & Analytics (1)
Required Skills
Airflow
Apache Spark
Machine Learning
Data Engineering
REST APIs

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Requirements
  • Five or more years of data engineering experience building and operating high-scale production data pipelines.
  • Deep proficiency with pipeline frameworks and data orchestration tools such as Airflow, dbt, or Spark.
  • Strong experience with streaming and batch data processing.
  • Experience with ontology design and semantic data modeling, including representing complex real-world relationships as structured, queryable knowledge.
  • Familiarity with tuple-based or graph data representations and the tradeoffs between knowledge-modeling approaches.
  • Experience working with heterogeneous enterprise data sources, including enterprise resource planning systems, software-as-a-service platforms, application programming interfaces, and internal databases.
  • Applicants must be U.S. persons, defined as citizens, lawful permanent residents, refugees, or asylees under applicable U.S. law.
  • Candidates must be based in or willing to relocate to New York City.
Responsibilities
  • Build and maintain data pipelines that ingest and process large volumes of data from diverse enterprise sources in real time.
  • Implement and evolve the data model and ontology layer, defining semantic relationships and tuple structures that make complex, fragmented enterprise data queryable and meaningful.
  • Architect data flows that meet strict isolation and confidentiality requirements across multi-tenant environments.
  • Work closely with artificial intelligence and machine learning engineers to ensure clean, structured, semantically rich data is available for model training and inference.
  • Build observability and monitoring tooling to ensure pipeline reliability, data quality, and low latency at scale.
  • Contribute to the ongoing evolution of the data architecture as the platform and customer base grows.
Desired Qualifications
  • Familiarity with high-security or multi-tenant data environments.

Linero builds an AI-native operational platform that controls access to sensitive technologies in industries like AI labs, aerospace, semiconductors, and quantum computing. It runs an intelligence layer inside each client's private environment using Retrieval-Augmented Generation to reason over confidential data without exposing it to public APIs, and manages fleets of AI agents to process internal documents and monitor external signals. It also offers AI consulting, ROI-driven strategy, and custom apps that integrate with existing enterprise systems such as CRMs and ERPs. Its goal is to ensure high-stakes technologies reach the right hands and are protected from misuse by providing strong governance and controlled access across industrial and national-security domains.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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Simplify Jobs

Simplify's Take

What believers are saying

  • A 2026 hiring post shows active expansion and premium demand for AI/ML talent.
  • Sensitive-technology customers value controlled-environment AI, especially in defense and semiconductor workflows.
  • Private-environment model deployment aligns with procurement fears around public API exposure.

What critics are saying

  • Linero has two conflicting web identities, confusing customers and investors.
  • A 2026 product thesis around private AI faces heavy compliance and integration drag.
  • If larger incumbents bundle secure enterprise agents, Linero's category disappears fast.

What makes Linero unique

  • Linero's 2026 job post targets sensitive technologies inside private customer environments.
  • It sells AI infrastructure for AI labs, defense primes, semiconductors, and quantum companies.
  • Its edge is access-control plus RAG and agent systems, not generic SaaS.

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Benefits

Health Insurance

Dental Insurance

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Remote Work Options

Company Equity