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Linero

Operational AI infrastructure for sensitive technologies

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 5 years of data engineering experience, including a proven track record of building and operating high-scale data pipelines in production.
  • Deep proficiency in pipeline frameworks and data orchestration tools such as Airflow, dbt, or Spark.
  • Strong experience with both 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 different approaches to knowledge modeling.
  • 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 as defined under applicable U.S. law: citizens, lawful permanent residents, refugees, or asylees.
  • 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 is a strong plus.

About the Company

Linero

Operational AI infrastructure for sensitive technologies

Linero provides operational infrastructure to control access to sensitive technologies, built as an AI-native platform that runs an intelligence layer inside clients’ private environments. Its core product uses Retrieval-Augmented Generation to reason over confidential enterprise data without exposing it to public APIs and orchestrates fleets of AI agents to process internal documents and monitor external signals, with domain-specific model fine-tuning for accuracy. The company differentiates itself by offering governance-focused, in-house AI capabilities designed for national-security–sensitive use cases and by integrating with existing enterprise systems, while expanding from large enterprises to thousands of startups in AI, defense tech, and related fields. Linero’s goal is to ensure consequential technologies reach the right hands and are protected from misuse through controlled access and robust AI governance across industrial and national-security domains.

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