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

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