About The Role

Landauer is a leader in radiation safety and dosimetry solutions, serving healthcare, research, and industrial customers across the United States. We are investing in the next generation of our software platform — a cloud-native, AI-powered suite that automates compliance workflows, dose analysis, and program management for radiation safety professionals.

We are looking for a seasoned Data Engineer to take a lead role in shaping the data foundation across Landauer's growing portfolio of products. You will set the standards for how data is modeled, moved, and governed — owning the full data lifecycle from ingestion through analytics and AI feature delivery. This is a high-impact, high-autonomy role on a small, focused team where your architectural decisions will directly influence product outcomes across multiple initiatives. You will serve as a key technical voice alongside backend engineers, product managers, and data scientists.

Responsibilities

Lead the design and implementation of scalable ETL/ELT pipelines that ingest dosimetry, dose report,



and compliance data from Landauer and external systems, establishing patterns the team builds on
Own the data storage architecture across structured, unstructured, and cached tiers on AWS — making deliberate trade-off decisions on cost, latency, and consistency
Architect event-driven data flows for asynchronous processing of compliance events, threshold breaches, and regulatory alerts at scale
Design and evolve data models that power dose reporting, equipment calibration tracking, regulatory audit exports, and statistical outlier detection — balancing OLTP performance with analytical query needs
Drive query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs
Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities
Define and enforce da

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