Description
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 capabilitie

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