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 data quality standards, schema contracts, lineage tracking, and observability practices across all pipeline stages
- Own compliance posture for data handling under HIPAA, NRC, and applicable state regulations — including access control models, encryption at rest/in transit, and immutable audit logging
- Establish monitoring and alerting for pipeline health, data freshness, and SLA adherence; lead incident response and post-mortems for data issues
- Act as the technical authority on internal data contracts and API schemas in cross-functional discussions with backend, product, and AI/ML teams
Required Qualifications
- 5+ years of experience in data engineering, with a proven track record delivering production-grade pipelines, data models, and storage architectures
- Deep SQL expertise; hands-on experience designing schemas and tuning queries at production scale
- Extensive, hands-on experience with AWS cloud data services for storage, compute, messaging, and eventing
- Advanced Python proficiency for pipeline development; experience structuring code for maintainability and reuse
- Proven experience designing and operating event-driven architectures and queue-based or streaming ingestion systems
- Strong data modeling skills across both OLTP and OLAP workloads, with the ability to balance normalization, query performance, and downstream analytics needs
- Deep understanding of data security and compliance practices: field-level encryption, IAM least-privilege, PII classification, and audit trail design
- Experience setting team-level standards: data contracts, schema registries, lineage tracking, or data quality frameworks
Preferred Qualifications
- Hands-on experience building data infrastructure for LLM fine-tuning, RAG pipelines, or agentic AI systems on AWS
- Demonstrated experience operating in a serverless-first environment and making principled architectural decisions on cost, scalability, and performance
- AWS certifications (Data Engineer Associate, Solutions Architect Associate or Professional, or equivalent)
What We Offer
- Meaningful work with direct impact on patient and worker safety across thousands of licensed US facilities
- Greenfield data platform work on a modern AWS stack — you will shape the architecture, not inherit it
- Senior-level autonomy with cross-functional influence across product, backend engineering, and AI/ML teams
- Competitive senior compensation package, equity participation, comprehensive benefits, and a dedicated professional development budget
Skills Required
- 5+ years of experience in data engineering
- Production experience delivering data pipelines, data models, and storage architectures
- Deep SQL expertise, including production schema design and query tuning
- Hands-on experience with AWS cloud data services for storage, compute, messaging, and eventing
- Advanced Python proficiency for pipeline development
- Experience designing and operating event-driven architectures and queue-based or streaming ingestion systems
- Strong data modeling skills across OLTP and OLAP workloads
- Understanding of data security and compliance practices, including field-level encryption, IAM least privilege, PII classification, and audit trail design
- Experience establishing data contracts, schema registries, lineage tracking, or data quality frameworks
- Experience building data infrastructure for LLM fine-tuning, RAG pipelines, or agentic AI systems on AWS
- Experience operating in a serverless-first environment
- AWS certification or equivalent, such as Data Engineer Associate or Solutions Architect certification
Fortive Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortive and has not been reviewed or approved by Fortive.
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Parental & Family Support — Parental leave is fully paid for 12 weeks for all parents, with fertility coverage via Progyny and generous adoption/surrogacy support. Backup child and adult care plus inclusive eligibility extend support across diverse family structures.
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Healthcare Strength — Multiple PPO and HSA medical options include telemedicine and second-opinion services, alongside robust mental-health access through Spring Health with no‑cost therapy sessions. The breadth of medical and behavioral health resources is highlighted as a strength.
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Retirement Support — The 401(k) provides a competitive employer match each pay period, with an additional company retirement contribution after one year of service. Financial wellness tools and an employee stock purchase plan further bolster long‑term savings.
Fortive Insights
What We Do
Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth.
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