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Remote Scada Engineer Jobs in Connecticut (NOW HIRING)

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Remote Scada Engineer information

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$35.4K

$97.7K

$135.1K

How much do remote scada engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote scada engineer in Connecticut is $97,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $114,500.00 per year, depending on experience, location, and employer.

What does a Remote SCADA Engineer do?

A Remote SCADA Engineer is responsible for designing, configuring, and maintaining Supervisory Control and Data Acquisition (SCADA) systems from a remote location. Their work involves monitoring and controlling industrial processes such as water treatment, energy distribution, or manufacturing operations via computer systems and specialized software. They troubleshoot system issues, ensure data integrity, implement security measures, and may also provide technical support to on-site staff. By working remotely, they can access SCADA networks securely over the internet to perform updates, resolve problems, and optimize system performance.

What are the key skills and qualifications needed to thrive as a Remote SCADA Engineer?

To thrive as a Remote SCADA Engineer, you need a solid background in electrical or computer engineering, experience with industrial automation, and a deep understanding of Supervisory Control and Data Acquisition (SCADA) systems. Familiarity with PLC programming, HMI software, network protocols (like Modbus and DNP3), and relevant certifications such as ISA or CompTIA Network+ are commonly required. Strong analytical thinking, self-motivation, and effective remote communication skills help individuals excel in diagnosing issues and collaborating with distributed teams. These competencies are crucial for ensuring reliable, secure, and efficient operation of critical infrastructure systems from a remote setting.

What are some common challenges faced by Remote SCADA Engineers and how can they be addressed?

Remote SCADA Engineers often encounter challenges related to network connectivity, cybersecurity, and diagnosing system issues without being physically present on-site. To address these challenges, it is important to establish robust remote monitoring protocols, maintain secure communication channels, and develop strong troubleshooting skills using remote diagnostic tools. Collaborating closely with on-site technicians and maintaining comprehensive documentation can also help resolve issues more efficiently and minimize downtime.

What is the difference between Remote Scada Engineer vs Remote Control Systems Engineer?

AspectRemote Scada EngineerRemote Control Systems Engineer
Required CredentialsBachelor's in Engineering, PLC, SCADA certificationsBachelor's in Electrical or Control Engineering, PLC, DCS certifications
Work EnvironmentIndustrial plants, utility companies, manufacturing facilitiesPower plants, manufacturing, automation industries
Industry UsagePrimarily in automation, energy, water managementAutomation, process control, energy sectors
Common Search/ComparisonYesYes

Both Remote Scada Engineers and Remote Control Systems Engineers work in automation and control industries, often requiring similar certifications and working environments. The main difference lies in their focus: Scada Engineers specialize in Supervisory Control and Data Acquisition systems, while Control Systems Engineers focus on designing and maintaining control systems like PLCs and DCS. Understanding these distinctions helps job seekers find roles aligned with their skills and career goals.

What are the most commonly searched types of Scada Engineer jobs in Connecticut?

The most popular types of Scada Engineer jobs in Connecticut are:

What are popular job titles related to Remote Scada Engineer jobs in Connecticut?

For Remote Scada Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Scada Engineer jobs in Connecticut look for?

The top searched job categories for Remote Scada Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Scada Engineer jobs?

Cities in Connecticut with the most Remote Scada Engineer job openings:

Remote Scada Engineer jobs near you
Infographic showing various Remote Scada Engineer job openings in Connecticut as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% Remote job distribution, with an average salary of $97,699 per year, or $47 per hour.

Azure Solution Architect - Industrial IoT

Applied Information Sciences

Groton, CT • Remote

$63.25 - $82.25/hr

Full-time

Re-posted 6 days ago

Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Infrastructure Architect.

  • Core Knowledge & Skills: Architects scalable, resilient solutions; authors roadmaps and blueprints; integrates diverse components; advances automation (PowerShell/Python/Ansible) and governance/policy.

  • Work & Complexity: Leads architectural initiatives, establishes performance benchmarks, integrates systems at scale, researches emerging tech, and mitigates enterprise risk.

  • Quality & Independence: Ensures integrity, scalability, and cost/performance optimization; produces comprehensive design artifacts; sets and enforces standards with broad autonomy.

  • Teamwork & Communication: Leads architectural teams, builds strategic partnerships, institutionalizes knowledge management, and communicates designs and executiveready reports.

  • Consulting & Engagement: Delivers architectural consulting aligned to business strategy, proposes enterprise technologies, nurtures vendor alliances, and seeds new project opportunities.

As your initial project assignment, you will support the unique needs of our client as a Azure Solution Architect - Industrial IoT.

Position Summary
We are seeking an experiencedAzure Solution Architect - Industrial IoTto lead the design and deployment of secure, scalable, and reliable Industrial Internet of Things (IIoT) solutions in Microsoft Azure. This roleis responsible fortranslating operational technology (OT) and business requirements into end-to-end cloud and edge architectures that enable industrial connectivity, telemetry ingestion, device management, analytics, and operational insights. The ideal candidate brings deepexpertisein Azure services, industrial protocols, edge computing, cybersecurity, and systems integration across manufacturing, utilities, energy, or other industrial environments.This position is located on-site in Groton, CT.

Key Responsibilities

  • Lead the architecture, design, and technical governance of Azure-based industrial IoT and edge solutions.

  • Defineend-to-endIIoTreference architectures spanning sensors, PLCs, SCADA/DCS systems, industrial gateways, edgecompute, cloud ingestion, storage, analytics, and visualization.

  • Design solutions using Azure services such asAzure IoT Operations, Azure IoT Hub, Azure Event Hubs, Azure Data Explorer, Azure Functions, Azure Stream Analytics, Azure Kubernetes Service, Azure Arc, Azure Monitor, Microsoft Defender for IoT, and Azure Digital Twinsasappropriate.

  • Architect secure and resilient connectivity patterns between plant-floor assets and Azure, including edge-to-cloud messaging, store-and-forward, intermittent connectivity handling, and remote site deployment models.

  • Develop strategies for ingesting and normalizing data from industrial protocols and systems such asOPC UA, Modbus, MQTT, BACnet, DNP3, and proprietary OEM interfaces.

  • Collaborate with OT engineers, plant operations, cybersecurity teams, infrastructure teams, and software developers to ensure solutions align with operational requirements and safety constraints.

  • Define device onboarding, identity, certificate management, lifecycle management, patching, and remote operations models for field and plant devices.

  • Design data architectures that support real-time monitoring, historian integration, predictive maintenance, condition monitoring, asset performance management, and advanced analytics use cases.

  • Ensure architectures incorporate security-by-design principles, including zero trust, network segmentation, role-based access control,secretsmanagement, device hardening, and regulatory compliance.

  • Produce architecture artifacts including solution diagrams, interface definitions, security models, deployment patterns, migration plans, andimplementationroadmaps.

  • Provide technical leadership during pilots, proof-of-concepts, and production deployments, including design reviews, troubleshooting, and performance optimization.

  • Establish non-functional requirements for availability, scalability, latency, resiliency, observability, and disaster recovery.

  • Support cost modeling, environment sizing, and cloud consumption planning forIIoTworkloads.

  • Mentor engineering teams and provide architectural oversight across implementation and operational handoff.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.

  • 8+ years of experience in solution architecture, cloud engineering, or enterprise systems integration.

  • 3+ years of experience designing or deployingindustrial IoT / OT-integrated solutionsin manufacturing, energy, utilities, transportation, mining, or similar industrial sectors.

  • Strong hands-on knowledge of Microsoft Azure architecture and services relevant to IoT, data, integration, security, and hybrid infrastructure.

  • Experience integrating cloud platforms with industrial environments, including PLCs, SCADA, MES, historians, industrial gateways, or plant-floor networks.

  • Understanding ofindustrial communications standards and protocols such asOPC UA, MQTT, and Modbus.

  • Experience with edge computing platforms, containerized workloads, and remote site deployment patterns.

  • Knowledge of OT and IoT cybersecurity principles, including asset visibility, network boundaries, device identity, certificate-based authentication, secure remote access, and threat monitoring.

  • Experience with infrastructure as code and automation using tools such asBicep, ARM, Terraform, PowerShell, or Azure DevOps/GitHub Actions.

  • Strong communicationskills with the ability to engage both executive stakeholdersand deeplytechnical engineering teams.

Preferred Qualifications

  • Microsoft Azure certifications such asAzure Solutions Architect Expert,Azure Administrator,Azure Security Engineer, or IoT-related certifications.

  • Experience withAzure Arc-enabled Kubernetes, industrial edge gateways, or disconnected/low-connectivity operating environments.

  • Experience with historian platforms, time-series analytics, and digital twin modeling.

  • Familiarity with industrial cybersecurity standards and frameworks such asISA/IEC 62443, NIST CSF, NERC CIP, or sector-specific controls.

  • Experience designing solutions for regulated or high-assurance environments.

  • Knowledge of data engineering and visualization platforms such asPower BI, Synapse, Fabric, or third-party industrial analytics tools.

  • Background in application integration, API design, event-drivenarchitectures, and enterprise integration patterns.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $138,000-$209,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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