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Remote Dataops Engineer Jobs in Pennsylvania (NOW HIRING)

Ectobox Inc

IIoT Engineer

Pittsburgh, PA · On-site +1

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... DataOps, Canary Labs Historian * Develop and maintain tag models, scripting logic, and ...

WebstaurantStore

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

Leveraging a modern data stack , scalable cloud technologies, and innovative DataOps practices, the ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

WebstaurantStore

Marketing Analytics Manager

Lititz, PA · On-site +1

Job Summary The Enterprise BI & Analytics Team is the central hub of analytics and data engineering ... Leveraging a modern data stack , scalable cloud technologies, and innovative DataOps practices, the ...

All JobsDataops Engineer JobsRemote Dataops Engineer JobsRemote Dataops Engineer Jobs in Pennsylvania

Remote Dataops Engineer information

What is the difference between Remote Dataops Engineer vs Data Engineer?

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

What are the key skills and qualifications needed to thrive as a Remote DataOps Engineer, and why are they important?

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.
What are popular job titles related to Remote Dataops Engineer jobs in Pennsylvania? For Remote Dataops Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Dataops Engineer jobs in Pennsylvania look for? The top searched job categories for Remote Dataops Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Dataops Engineer jobs? Cities in Pennsylvania with the most Remote Dataops Engineer job openings:
Remote Dataops Engineer jobs near you
IIoT Engineer

IIoT Engineer

Ectobox Inc

Pittsburgh, PA • On-site, Remote

$110K - $130K/yr

Full-time

Posted 15 days ago

Job description

Industry 4.0 Engineer
About Ectobox
Ectobox is a Pittsburgh-based remote industrial intelligence solutions company facilitating growth and efficiency in U.S. manufacturers through digital transformations. We are experts in manufacturing data architectures and MES solutions. In our solutions we use open technologies, integrate data with a structured Unified Namespace, focus on solving the business challenges first, and drive more value with less complexity. The result is real-time visibility for solving many plant challenges using a scalable and flexible solution.
About the Role
Ectobox is seeking an Industry 4.0 Engineer to manage technical delivery of advanced MES, IIoT, and real-time data integration solutions for global manufacturing clients. This role is ideal for developers who bring both deep technical implementation expertise and a passion for mentorship, system quality, and continuous improvement.
You will collaborate closely with solution architects, project managers, and client teams to deliver scalable, secure, and high-performing Industry 4.0 systems. This position blends hands-on development with engineering leadership, making it ideal for someone who wants to shape the execution layer of digital transformation.
Key Responsibilities
System Development & Delivery
  • Deliver project implementation and execution of scalable MES, SCADA, and data platform solutions across manufacturing sites using Industry 4.0 Event-Driven Architectural practices
  • Build real-time data flows using but not limited to Data Brokers (MQTT/Sparkplug B), SQL Databases, HighByte DataOps, Canary Labs Historian
  • Develop and maintain tag models, scripting logic, and visualization layers in platforms like Ignition or Litmus
  • Integrate, troubleshoot, and optimize performance across edge, broker, and cloud layers

Collaboration & Leadership
  • Work closely with Solutions Architects and Project Managers to ensure alignment between technical design and business objectives
  • Serve as a technical liaison across client stakeholders, operations, and technical teams
  • Lead debugging, performance tuning, and reliability improvements for complex MES/IIoT implementations

Mentorship & Standards Enforcement
  • Provide technical guidance to junior developers
  • Conduct code reviews, design feedback sessions, and pair programming as needed
  • Drive adoption of clean architecture, secure design patterns, and reusable integration components

Security & Compliance
  • Implement and enforce secure transport protocols (TLS), broker hardening, identity management, and secure edge connectivity
  • Ensure all integrations comply with internal standards and client IT/OT security policies

Knowledge Sharing & Continuous Improvement
  • Document lessons learned, reusable code modules, and tested integration patterns
  • Maintain internal libraries, best practice guides, and delivery templates for future reuse
  • Research and adopt emerging tools, protocols, and best practices within the UNS and Industry 4.0 space

Candidate Profile
  • 3-5+ years of experience in MES/IIoT/SCADA development or OT systems integration
  • Proven track record of delivering data-intensive solutions in manufacturing environments
  • Effective communicator across technical and non-technical teams
  • Skilled in code quality, documentation, and repeatable system design
  • Skilled in code design, build, and maintenance of software programs
  • Experience in prompt engineering and leveraging LLMs to assist in code development and automated daily tasks, including the creation of agents and sub-agents to achieve desired outcome
  • Formal education in engineering, computer science, or automation is preferred - but we prioritize proven experience in delivering MES/IIoT solutions.
  • US-based; travel up to 30% as needed

Why Join Ectobox?
  • Work on high-impact projects for some of the world's most recognizable manufacturing brands
  • Gain deep exposure to leading-edge Industry 4.0 platforms and data infrastructure
  • Be part of a collaborative, supportive team that values innovation and professional growth
  • Help define delivery standards that will scale across dozens of sites and hundreds of production lines

Join us and start building your future in IIoT and digital transformation!

Apply