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Osisoft Jobs in Florida (NOW HIRING)

Continuously improve the OSIsoft PI system architecture * Other duties as assigned MINIMUM REQUIREMENTS * Education: Bachelor's degree in Computer Science, Data Science, Data Analytics , Mechanical ...

Automation Engineer

Davie, FL ยท On-site

$45 - $55/hr

OT/IT systems: industrial IT and integration with servers/virtualization (Windows Server, VMware/Hyper-V) plus databases/historians (SQL Server, OSIsoft PI, or equivalent). * Industrial networking ...

Proficiency in MS Office products, PI/OSISoft products or similar data historian, added benefit if the experience is with AutoCAD, Microsoft Project/Primavera (or similar software) experience.

New

Proficiency in MS Office products, PI/OSISoft products or similar data historian, added benefit if the experience is with AutoCAD, Microsoft Project/Primavera (or similar software) experience.

New

Proficiency in MS Office products, PI/OSISoft products or similar data historian, added benefit if the experience is with AutoCAD, Microsoft Project/Primavera (or similar software) experience.

New

Proficiency in MS Office products, PI/OSISoft products or similar data historian, added benefit if the experience is with AutoCAD, Microsoft Project/Primavera (or similar software) experience.

New

Advanced personal computer skills including MS Office (Word, Excel, Outlook, PowerPoint, Project), OSIsoft PI, Sharepoint, etc. Preferred including: PTC Suite (Creo, Windchill, Matlab), Computer ...

Osisoft information

What is an OSIsoft PI System Engineer?

An Osisoft PI System Engineer is a professional who specializes in implementing, configuring, and maintaining the PI System, a data infrastructure platform developed by OSIsoft (now part of AVEVA) for real-time data collection, analysis, and visualization. They work within industries like energy, utilities, and manufacturing to manage large volumes of operational data, ensure data integrity, and support decision-making processes. Their responsibilities often include system installation, integration with other enterprise systems, troubleshooting, and providing technical support to users.

What are some common challenges faced by OSIsoft PI System Administrators, and how can they be addressed?

OSIsoft PI System Administrators often encounter challenges such as integrating the PI System with diverse data sources, ensuring system reliability, and maintaining data security. Addressing these issues requires a strong understanding of both industrial processes and IT infrastructure. Administrators typically work closely with cross-functional teams, including engineers and IT specialists, to troubleshoot data flow problems, optimize performance, and implement security best practices. Continuous learning and proactive system monitoring are key to overcoming these challenges and ensuring smooth operations.

What are the key skills and qualifications needed to thrive as an OSIsoft PI System Engineer, and why are they important?

To thrive as an OSIsoft PI System Engineer, you need a strong background in industrial automation, data integration, and computer science, often supported by a relevant engineering or IT degree. Familiarity with the OSIsoft PI System, SQL, scripting languages (like PowerShell or Python), and relevant certifications such as PI System Infrastructure Specialist are typically required. Strong problem-solving, communication, and project management skills set candidates apart in this position. These skills ensure the reliable implementation, maintenance, and optimization of PI systems, driving effective data-driven decision-making in industrial environments.

What is the difference between Osisoft vs Data Analyst?

AspectOsisoftData Analyst
Required CredentialsTypically certifications in industrial automation, data management, or specific Osisoft productsBachelor's degree in data science, statistics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentIndustrial settings, manufacturing plants, or IT departments focusing on data collection and process optimizationOffice-based, analyzing data sets, creating reports, and supporting decision-making
Employer & Industry UsageManufacturing, energy, utilities, and industrial automation companiesFinance, healthcare, marketing, and technology sectors

Osisoft professionals focus on industrial data management and automation systems, while Data Analysts interpret data to inform business decisions. Both roles require strong analytical skills but differ in industry focus and technical expertise.

What are popular job titles related to Osisoft jobs in Florida?

For Osisoft jobs in Florida, the most frequently searched job titles are:

Infographic showing various Osisoft job openings in Florida as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 5% Part Time, 1% Temporary, and 12% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Development Engineer

Power Systems Mfg., LLC

Jupiter, FL โ€ข On-site

Full-time

Re-posted 29 days ago


Job description

POSITION: Development Engineer, Monitoring & Diagnostics

LOCATION: Jupiter, Florida / Hybrid

STATUS: Salaried Non-Exempt


JOB SUMMARY

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions of the job include, but are not limited to, the following:

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify)
  • Utilize AI models for knowledge base agent/digital twin of gas turbine.
  • Develop/maintain software for monitoring, analyzing and graphically representing gas turbine operations.
  • Continuously refine/train models to mimic real life engine behavior, minimize false alarms, and predict gas turbine alarms before they occur
  • Work with operational team to support and troubleshoot issue with customer data and cloud infrastructure
  • Continuously improve the OSIsoft PI system architecture
  • Other duties as assigned


MINIMUM REQUIREMENTS

  • Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative/technical field.
  • Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI) frameworks. Familiarity with Large Language Models (LLMs) and Foundational Models via platforms like Amazon Bedrock.
  • Full-Stack Development: Understanding of AWS Full-Stack development workflows, including API Management, IAM roles, and cloud security best practices.
  • AWS Cloud Ecosystem: Hands-on experience with AWS Cloud Architecture. Proficiency in core services including EC2 (Compute), S3 (Storage), and AWS Lambda (Serverless).
  • Programming Languages: Proficiency in at least one modern language: Python, TypeScript, C#, or MATLAB.
  • DevOps & Tools: Basic knowledge of Software Development Life Cycle (SDLC), Version Control (Git/GitHub), and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Methodology: Familiarity with Agile/Scrum environments and iterative development processes.
  • Data Analysis: Strong aptitude for data visualization and data modeling.
  • DataBase experience: Experience with SQL and noSQL databases.

Preferred Skills/Experience

  • AWS Certifications: Active certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning – Specialty.
  • Advanced AI/ML: Exposure to Natural Language Processing (NLP), Neural Networks, or Generative AI integration via Amazon Bedrock and SageMaker.
  • Data Science Stack: Proficiency in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Modern Web Frameworks: Experience in Full-Stack Development using React.js and TypeScript to build responsive user interfaces.
  • API Development: Knowledge of building and consuming RESTful APIs or GraphQL to connect front-end applications with cloud backends.
  • State Management: Familiarity with tools like Redux, Context API, or Zustand for complex UI logic.
  • Version Control: Mastery of Git workflows, including branching strategies, pull requests, and code reviews.
  • CI/CD Pipelines: Experience with AWS CodeCommit, GitHub Actions, or GitLab CI for automated testing and deployment.
  • Infrastructure as Code (IaC): Basic understanding of AWS CloudFormation or Terraform is a significant advantage.

Equal Opportunity Veterans/Disabled