Remote R D Engineer Jobs
Remote R D Engineer jobs are open across the U.S. at remote-first firms and distributed teams in sectors like biotech, advanced manufacturing, and technology. Employers hiring remotely right now include Zantech, Amgen, and ZS Associates. Find a role that fits below and apply directly.
Find Remote R D Engineer JobsOverview
Showing 5 of 58+ Remote R D Engineer jobs
Location: U.S.A based - Remote
Segment: InSite
Direct Report To: Senior R&D Director
Duracell is seeking a Principal IoT Data Platform Architect to own the architecture, implementation framework, security, governance, and evolution of the Procell InSite data platform. This role spans IoT devices, Azure, Databricks, analytics, AI/ML, APIs, and customer-facing applications.
This hands-on technical authority will set standards, implement and test critical platform elements, establish secure reusable frameworks, and drive scalability, reliability, and product innovation. The role is a senior individual contributor operating through technical leadership and direct contribution.
Responsibilities
Data Platform Leadership
- Own the platform roadmap, target architecture, transition plans, technical debt priorities, and architecture decisions.
- Lead architecture and implementation across device-to-cloud ingestion, storage, processing, analytics, APIs, and applications.
- Establish reference architectures, engineering standards, reusable frameworks, decision records, and exception controls.
- Define system boundaries and integration contracts across Firmware, Cloud, Data, Software, Analytics, Security, Product, and IT.
- Translate product needs into measurable requirements for latency, scale, availability, recovery, quality, security, and cost.
Data Engineering & Architecture
- Design and implement batch, streaming, event-driven, and API-based pipelines connecting devices, cloud services, analytics, and applications.
- Own the telemetry lifecycle from device identity and ingestion through validation, enrichment, storage, serving, retention, and deletion.
- Define event schemas, data models and contracts, schema evolution, replay, idempotency, deduplication, and ordering controls.
- Implement lakehouse and streaming patterns with governed raw, validated, curated, and product-ready data layers.
- Create scalable storage, processing, and serving patterns for telemetry, alerts, APIs, analytics, AI/ML, and low-code applications.
- Establish data quality, lineage, observability, ownership, issue routing, and measurable service levels.
- Build production-ready reference implementations and perform integration, contract, performance, resilience, security, and regression testing.
- Lead capacity planning, workload isolation, scale testing, backfill, correction, replay, and migration strategies.
Governance & Security
- Own Procell InSite governance for metadata, stewardship, classification, retention, lineage, auditability, and trusted datasets.
- Define Unity Catalog architecture and integration with the enterprise governance ecosystem.
- Implement least-privilege access, managed identities, secrets, encryption, key management, private connectivity, and security monitoring.
- Own secure platform boundaries across Azure, Databricks, storage, networks, environments, APIs, and customer tenants.
- Ensure tenant isolation and alignment with enterprise, contractual, privacy, cybersecurity, residency, retention, and audit requirements.
- Perform threat modeling and security reviews for ingestion, data sharing, APIs, AI, and external integrations.
Cloud & Platform Strategy
- Define and implement Azure and Databricks architecture and guardrails for ingestion, storage, processing, orchestration, serving, governance, and monitoring.
- Own platform topology across subscriptions, resource groups, environments, regions, networks, identities, storage, and workspaces.
- Implement infrastructure as code, source control, automated testing, CI/CD, environment promotion, deployment validation, and rollback.
- Establish service objectives and observability for ingestion, latency, freshness, availability, performance, and recovery.
- Define disaster recovery, backup, restore, RTO/RPO, regional recovery, dependency-failure, and recovery-testing strategies.
- Drive capacity forecasting, cost attribution, budget controls, unit-cost measurement, platform lifecycle, and build-versus-buy decisions.
Technical Leadership
- Serve as the technical authority, approve target architectures and standards, and lead design and exception reviews.
- Convert approved designs into working frameworks, reference implementations, test strategies, and production-ready patterns.
- Remain hands-on in critical design, coding, configuration, prototyping, troubleshooting, performance testing, and security validation.
- Partner across engineering, product, cybersecurity, QA, operations, IT, and strategic vendors to deliver integrated solutions.
- Mentor engineers and architects and communicate technical tradeoffs, risks, and investment recommendations to leadership.
Qualifications
Must-Have
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
- 10+ years in cloud, software, data engineering, or platform architecture, including 5+ years leading complex production data-platform architecture.
- Demonstrated hands-on ownership of large-scale production cloud data platforms and secure multi-tenant architectures.
- Production experience with IoT telemetry, event-driven systems, high-volume streaming, and distributed-system failure modes.
- Deep experience with Azure and Databricks, including Spark, Delta Lake, lakehouse design, performance optimization, and Unity Catalog.
- Experience with IoT Hub, Event Hubs, Kafka, Structured Streaming, or comparable event and streaming technologies.
- Strong SQL and proficiency in Python, Scala, Java, C#, or a comparable platform-development language.
- Experience with data modeling, APIs, integration contracts, infrastructure as code, CI/CD, automated testing, and observability.
- Experience implementing security, governance, lineage, access controls, tenant isolation, auditability, disaster recovery, and cloud cost controls.
- Ability to turn ambiguous product requirements into secure, testable architectures, working implementations, and executable roadmaps.
- Ability to defend architecture decisions with engineering, cybersecurity, enterprise architecture, product, vendors, and executives.
Nice-to-Have
- Experience with connected-device fleets, device registries or twins, real-time alerting, and condition-monitoring platforms.
- Experience with customer-facing Data-as-a-Service, SaaS, governed data sharing, Power BI, low-code, or generative AI platforms.
- Experience leading platform modernization or migration while maintaining production availability.
- Azure or Databricks certifications; master's degree in a technical discipline.
Pay: $130,908.95 - $157,653.80 per year
Work Location: Remote
Location: U.S.A based - Remote
Segment: InSite
Direct Report To: Senior R&D Director
Duracell is seeking a Principal IoT Data Platform Architect to own the architecture, implementation framework, security, governance, and evolution of the Procell InSite data platform. This role spans IoT devices, Azure, Databricks, analytics, AI/ML, APIs, and customer-facing applications.
This hands-on technical authority will set standards, implement and test critical platform elements, establish secure reusable frameworks, and drive scalability, reliability, and product innovation. The role is a senior individual contributor operating through technical leadership and direct contribution.
Responsibilities
Data Platform Leadership
- Own the platform roadmap, target architecture, transition plans, technical debt priorities, and architecture decisions.
- Lead architecture and implementation across device-to-cloud ingestion, storage, processing, analytics, APIs, and applications.
- Establish reference architectures, engineering standards, reusable frameworks, decision records, and exception controls.
- Define system boundaries and integration contracts across Firmware, Cloud, Data, Software, Analytics, Security, Product, and IT.
- Translate product needs into measurable requirements for latency, scale, availability, recovery, quality, security, and cost.
Data Engineering & Architecture
- Design and implement batch, streaming, event-driven, and API-based pipelines connecting devices, cloud services, analytics, and applications.
- Own the telemetry lifecycle from device identity and ingestion through validation, enrichment, storage, serving, retention, and deletion.
- Define event schemas, data models and contracts, schema evolution, replay, idempotency, deduplication, and ordering controls.
- Implement lakehouse and streaming patterns with governed raw, validated, curated, and product-ready data layers.
- Create scalable storage, processing, and serving patterns for telemetry, alerts, APIs, analytics, AI/ML, and low-code applications.
- Establish data quality, lineage, observability, ownership, issue routing, and measurable service levels.
- Build production-ready reference implementations and perform integration, contract, performance, resilience, security, and regression testing.
- Lead capacity planning, workload isolation, scale testing, backfill, correction, replay, and migration strategies.
Governance & Security
- Own Procell InSite governance for metadata, stewardship, classification, retention, lineage, auditability, and trusted datasets.
- Define Unity Catalog architecture and integration with the enterprise governance ecosystem.
- Implement least-privilege access, managed identities, secrets, encryption, key management, private connectivity, and security monitoring.
- Own secure platform boundaries across Azure, Databricks, storage, networks, environments, APIs, and customer tenants.
- Ensure tenant isolation and alignment with enterprise, contractual, privacy, cybersecurity, residency, retention, and audit requirements.
- Perform threat modeling and security reviews for ingestion, data sharing, APIs, AI, and external integrations.
Cloud & Platform Strategy
- Define and implement Azure and Databricks architecture and guardrails for ingestion, storage, processing, orchestration, serving, governance, and monitoring.
- Own platform topology across subscriptions, resource groups, environments, regions, networks, identities, storage, and workspaces.
- Implement infrastructure as code, source control, automated testing, CI/CD, environment promotion, deployment validation, and rollback.
- Establish service objectives and observability for ingestion, latency, freshness, availability, performance, and recovery.
- Define disaster recovery, backup, restore, RTO/RPO, regional recovery, dependency-failure, and recovery-testing strategies.
- Drive capacity forecasting, cost attribution, budget controls, unit-cost measurement, platform lifecycle, and build-versus-buy decisions.
Technical Leadership
- Serve as the technical authority, approve target architectures and standards, and lead design and exception reviews.
- Convert approved designs into working frameworks, reference implementations, test strategies, and production-ready patterns.
- Remain hands-on in critical design, coding, configuration, prototyping, troubleshooting, performance testing, and security validation.
- Partner across engineering, product, cybersecurity, QA, operations, IT, and strategic vendors to deliver integrated solutions.
- Mentor engineers and architects and communicate technical tradeoffs, risks, and investment recommendations to leadership.
Qualifications
Must-Have
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
- 10+ years in cloud, software, data engineering, or platform architecture, including 5+ years leading complex production data-platform architecture.
- Demonstrated hands-on ownership of large-scale production cloud data platforms and secure multi-tenant architectures.
- Production experience with IoT telemetry, event-driven systems, high-volume streaming, and distributed-system failure modes.
- Deep experience with Azure and Databricks, including Spark, Delta Lake, lakehouse design, performance optimization, and Unity Catalog.
- Experience with IoT Hub, Event Hubs, Kafka, Structured Streaming, or comparable event and streaming technologies.
- Strong SQL and proficiency in Python, Scala, Java, C#, or a comparable platform-development language.
- Experience with data modeling, APIs, integration contracts, infrastructure as code, CI/CD, automated testing, and observability.
- Experience implementing security, governance, lineage, access controls, tenant isolation, auditability, disaster recovery, and cloud cost controls.
- Ability to turn ambiguous product requirements into secure, testable architectures, working implementations, and executable roadmaps.
- Ability to defend architecture decisions with engineering, cybersecurity, enterprise architecture, product, vendors, and executives.
Nice-to-Have
- Experience with connected-device fleets, device registries or twins, real-time alerting, and condition-monitoring platforms.
- Experience with customer-facing Data-as-a-Service, SaaS, governed data sharing, Power BI, low-code, or generative AI platforms.
- Experience leading platform modernization or migration while maintaining production availability.
- Azure or Databricks certifications; master's degree in a technical discipline.
Pay: $130,908.95 - $157,653.80 per year
Work Location: Remote
See All 58 Remote R D Engineer Jobs
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Find Remote R D Engineer JobsRemote R D Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Manufacturing
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote R D engineer jobs.
- Bachelor's or master's degree in engineering, physics, chemistry, or a closely related field
- Proficiency in simulation and modeling tools such as MATLAB, ANSYS, or equivalent software
- Hands-on experience designing and executing experiments and documenting results
- Ability to analyze data, draw engineering conclusions, and communicate findings clearly
- Experience with prototyping, testing, and iterating on physical or software systems
- Familiarity with design of experiments methodology and statistical analysis techniques
Tips for Your Remote R D Engineer Job Search
Showcase async documentation skills
Remote r d employers want engineers who can capture experimental methods, results, and next steps in writing without real-time back-and-forth. Include links to technical write-ups, lab reports, or research summaries in your application materials to show you communicate clearly across time zones.
Apply early to remote roles that fit
Migrate Mate lists remote r d engineer openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sifting through location-filtered results.
Demonstrate proficiency in remote R D tools
Call out the specific platforms you use for distributed research work, such as CAD software, simulation environments, electronic lab notebooks, or cloud-based data repositories. Remote employers want to know you can run your workflow without physical lab access from day one.
Prepare for asynchronous technical interviews
Many remote r d engineer hiring processes include take-home design challenges or recorded technical presentations instead of live whiteboard sessions. Practice presenting a design decision or experiment result clearly in writing or short video format so your reasoning comes through without real-time prompts.
Remote R D Engineer Jobs: Frequently Asked Questions
How do I get a remote r d engineer job?
Target remote-first companies and distributed engineering teams in biotech, defense technology, and industrial software, where async-capable r d engineers are in consistent demand. Remote employers screen for self-direction, strong written communication, and the ability to document experiments and findings clearly without in-person oversight. Proficiency with collaboration tools, version-controlled lab notebooks, and remote prototyping workflows gives candidates a measurable edge.
Which companies hire remote r d engineers?
Companies hiring remote r d engineers right now include Zantech, Amgen, and ZS Associates, based on current remote listings on Migrate Mate as of September 2026. Remote r d engineer roles are most common at remote-first technology firms, distributed medical device companies, and advanced materials organizations that run decentralized research teams.
Can you get a remote r d engineer job with no experience?
Yes, but remote entry-level r d engineer roles are harder to land because employers expect you to work independently from day one without on-site mentorship. Remote-first startups and contract research organizations are the most likely to hire early-career candidates. A portfolio of independent projects, open-source contributions, or documented prototype work demonstrates the self-direction remote employers need to see.
Do you need a degree for remote r d engineer jobs?
Not always. Many remote employers list a degree as preferred rather than required, particularly for r d engineers with a strong portfolio of applied work. Demonstrable skills in CAD, simulation tools, materials characterization, or lab instrumentation, alongside documented project outcomes, can substitute for or complement a formal credential in the remote hiring process.
Which industries hire the most remote r d engineers?
Remote r d engineer roles concentrate in Technology & Software, Electronics & Hardware, and Manufacturing, based on current remote listings on Migrate Mate as of September 2026. Those sectors rely on distributed research teams and have invested in remote collaboration infrastructure that lets r d engineers contribute fully outside a central lab setting.
See All 58 Remote R D Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote R D Engineer Jobs