Senior Data Engineer

About Linero Linero is building the operational infrastructure that ensures the world's most sensitive technologies reach the right hands, and never the wrong ones. Our customers include some of the most consequential companies in the world: leading AI labs, aerospace and defense primes, semiconductor giants, quantum computing pioneers, and companies pushing the frontier in chemicals, advanced manufacturing, and robotics. We are an AI-native, venture-backed company creating a new category of software at the intersection of national security, industrial infrastructure, and enterprise AI.

The Role As a Senior Data Engineer, you will build and own the data infrastructure that powers Linero: ingesting, transforming, and routing data across a complex landscape of enterprise sources that operate under strict security and isolation

requirements. The work is foundational: without it, nothing else runs. This is a hands-on implementation role. You will spend most of your time building and operating production systems, working closely with the backend and AI/ML engineers to ensure data flows reliably from source to model to product.

What You'll Own Build and maintain data pipelines that ingest and process large volumes of data from diverse enterprise sources in real time Implement and evolve Linero's 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 AI/ML 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 Linero's data architecture as the platform and customer base grows

What We're Looking For 5+ years of data engineering experience with a proven track record of building and operating high-scale data pipelines in production Deep proficiency in pipeline frameworks and data orchestration tools: Airflow, dbt, Spark, or similar Strong experience with both streaming and batch data processing Experience with ontology design and semantic data modeling; you understand how to represent 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: ERPs, SaaS platforms, APIs, and internal databases Familiarity with high-security or multi-tenant data environments is a strong plus You care about data quality and reliability as much as throughput; you build systems that can be trusted Based in or willing to relocate to New York City What We Offer Competitive