Remote R D Engineering Jobs
Remote R D Engineering jobs are open across the U.S. at remote-first firms and distributed teams in sectors like technology, defense, and advanced manufacturing. Employers hiring remotely right now include Zantech, Amgen, and ZS Associates. Find a role that fits below and apply directly.
Find Remote R D Engineering JobsOverview
Showing 5 of 58+ Remote R D Engineering 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 Engineering Jobs
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Find Remote R D Engineering JobsRemote R D Engineering 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 engineering jobs.
- Bachelor's or master's degree in engineering, applied science, or a related technical field
- Experience with CAD, simulation, or lab instrumentation tools relevant to the industry
- Demonstrated ability to design experiments, analyze data, and iterate on prototypes
- Familiarity with design control processes, stage-gate reviews, or agile development frameworks
- Strong technical writing skills for reports, test protocols, and internal documentation
- Experience collaborating cross-functionally with manufacturing, quality, or regulatory teams
Tips for Your Remote R D Engineering Job Search
Apply early to remote roles that fit
Migrate Mate lists remote r d engineering openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated postings.
Show async communication skills upfront
Remote r d engineering employers prioritize written clarity. Include concise technical summaries, design documents, or research write-ups in your application materials to demonstrate you can move work forward without constant real-time meetings.
Build a portfolio of documented projects
Remote hiring managers can't see your work in person, so a GitHub repository, technical report, or documented prototype that shows your research process and conclusions gives them concrete evidence of your engineering ability.
Prepare for asynchronous interview stages
Many remote r d engineering interviews include take-home technical problems or recorded video responses. Practice explaining your design rationale in writing and rehearse concise video answers so you perform well outside a live call format.
Remote R D Engineering Jobs: Frequently Asked Questions
How do I get a remote r d engineering job?
Target companies with established distributed engineering teams, such as remote-first technology firms and defense contractors with geographically dispersed labs. Remote employers screen for self-directed problem-solving, strong written technical communication, and the ability to document research decisions clearly without in-person check-ins. Proficiency with async collaboration tools and a portfolio demonstrating independent project ownership gives candidates a clear edge.
Which companies hire remote r d engineerings?
Employers currently hiring remote r d engineerings include Zantech, Amgen, and ZS Associates, per current remote listings on Migrate Mate as of September 2026. Remote-first technology companies, distributed defense and aerospace teams, and advanced materials firms are among the most active sectors for fully remote r d engineering roles.
Can you get a remote r d engineering job with no experience?
Yes, but remote entry-level r d engineering roles are harder to land because employers expect you to work independently from day one without in-person mentorship. Open-source project contributions, published research, or self-directed prototyping work can substitute for formal experience. Smaller remote-first startups and contract research organizations tend to be more open to early-career candidates who show strong documentation habits.
Do you need a degree for remote r d engineering jobs?
Not always. Many remote employers weigh demonstrated technical skills, a portfolio of completed projects, and measurable results alongside or instead of formal credentials. That said, roles involving regulated industries or government contracts often require a relevant engineering or science degree, so the answer depends on the specific sector and scope of the position.
Which industries hire the most remote r d engineerings?
Remote r d engineering roles concentrate in Technology & Software, Electronics & Hardware, and Manufacturing, based on current remote listings on Migrate Mate as of September 2026. Those sectors hire r d engineerings remotely because their research and development workflows are well-suited to distributed teams using shared documentation, simulation software, and async technical review processes.
See All 58 Remote R D Engineering Jobs
Find roles that match your experience and apply in just a few clicks.
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