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Data Engineer

Bengaluru, KA, IN

Pay
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Employment
Full-time — employment source
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
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What you’ll work on

Full posting

Landauer is a leader in radiation safety and dosimetry solutions, serving healthcare, research, and industrial customers across the United States.

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.

  • Design and implement scalable ETL/ELT pipelines for dosimetry and compliance data

  • Own data storage architecture across structured, unstructured, and cached tiers on AWS

  • Architect event-driven flows for compliance events and regulatory alerts

  • Design data models for dose reporting, calibration tracking, and audit exports

  • Lead data infrastructure for AI/ML features, including dataset curation

From the employer’s posting
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.
Lead the design and implementation of scalable ETL/ELT pipelines
Own the data storage architecture across structured, unstructured, and cached tiers on AWS
Architect event-driven data flows for asynchronous processing of compliance events
Design and evolve data models that power dose reporting, equipment calibration tracking, regulatory audit exports
Lead data infrastructure work for AI/ML features, including dataset curation

What you’ll bring

All qualifications

Core experience

  • 5+ years of data engineering with production pipelines and storage architectures
  • Deep SQL expertise, including schema design and query tuning at scale
  • Extensive hands-on experience with AWS data services
  • Advanced Python for pipeline development
  • Experience with event-driven and queue or streaming ingestion systems
Qualification wording
5+ years of experience in data engineering
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
Proven experience designing and operating event-driven architectures and queue-based or streaming ingestion systems

Tools in this posting

  • Python
  • SQL
  • AWS
Source — Tool mentions in context
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
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
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
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 Fortive Corporation Overview

Benefits in the posting

Full benefits wording
  • * 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
  • Fortive Corporation Overview
  • Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.
  • We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. 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 advanced technologies that help providers focus on exceptional patient care.

From the employer’s posting.

About Fortive

Comprised of four industry leaders—Fluke Biomedical, LANDAUER, RaySafe, and Victoreen — Fluke Health Solutions (FHS) leads the biomedical and radiation detection markets with innovative products and services that help keep customers, patients, and clients safe.

In the employer’s words · Read in context

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Live
First seen by us
Sep 13, 2026 · 40 days ago
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Last seen by us
Oct 23, 2026
Employer says posted
Sep 10, 2026

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Job description

View original posting ↗

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 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 Fortive Corporation Overview Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. 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 advanced technologies that help providers focus on exceptional patient care. We are a diverse team 10,000 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. About Fluke Health Solutions Comprised of four industry leaders—Fluke Biomedical, LANDAUER, RaySafe, and Victoreen — Fluke Health Solutions (FHS) leads the biomedical and radiation detection markets with innovative products and services that help keep customers, patients, and clients safe. Fluke Biomedical leads the world in manufacturing biomedical test equipment like defibrillator analyzers and digital pressure meters. LANDAUER measures radiation exposure with dosimeter and radiation monitoring badges. RaySafe is the worldwide leader of X-ray test equipment, real-time staff dosimetry, and radiation survey meters. And Victoreen instruments are the trusted source for radiation monitoring systems and quality assurance for nuclear power professionals. At FHS, we believe in your potential — your ability to learn, grow and contribute in meaningful ways. And we believe in giving you the opportunity, accountability, and visibility to do just that. We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com. Bonus or Equity This position is also eligible for bonus as part of the total compensation package.
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Bengaluru, KA, IN

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