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 specialists.
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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