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Osisoft Pi Engineer Jobs (NOW HIRING)

Optimyze1

Process Engineer, Pharmaceutical

Boston, MA

$130K - $140K/yr

We're hiring a Process Development Sales Engineer to work with industrial customers to support the ... Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar ...

FLOW DATA INC

SCADA Programmer

San Antonio, TX · On-site +1

$90K - $105K/yr

Support engineering, design and implementation of automation solutions per customer functional ... Integrate and manage SCADA database systems to historians (OSIsoft PI, Canary, etc.) measurement ...

Lonza

Systems Engineer, Level 3

Portsmouth, NH · On-site

Skilled in SQL Server (2005/2022) and OSIsoft PI Systems, with additional knowledge of VBScript, .NET, and SQL programming. * Experienced with deployment and recovery applications, including Symantec ...

Lonza

Systems Engineer, Level 3

Portsmouth, NH · On-site

Skilled in SQL Server (2005/2022) and OSIsoft PI Systems, with additional knowledge of VBScript, .NET, and SQL programming. * Experienced with deployment and recovery applications, including Symantec ...

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How much do osisoft pi engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for osisoft pi engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an OSIsoft PI Engineer job?

An OSIsoft PI Engineer is responsible for designing, implementing, and maintaining PI System infrastructure, which is used for real-time data collection, storage, and analysis in industrial environments. They configure data interfaces, ensure system reliability, and develop visualization tools like PI Vision or PI ProcessBook. Additionally, they support data security, troubleshoot system issues, and optimize performance for better decision-making. Their role is crucial in industries like manufacturing, energy, and utilities, where real-time data monitoring is essential for operational efficiency.

What are the key skills and qualifications needed to thrive in the Osisoft Pi Engineer position, and why are they important?

To thrive as an Osisoft Pi Engineer, you need a strong background in industrial automation, process data management, and computer science or engineering, often supported by a relevant bachelor's degree. Experience with OSIsoft PI System, PI Data Archive, PI Asset Framework, and certifications like PI System Infrastructure Specialist are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills are essential for collaborating with cross-functional teams and addressing client needs. These skills and qualifications are critical for designing, implementing, and optimizing data infrastructure that improves operational efficiency and reliability in industrial environments.

What are the typical daily responsibilities of an Osisoft Pi Engineer?

As an Osisoft Pi Engineer, your daily responsibilities often include configuring and maintaining PI System components, integrating diverse data sources, troubleshooting data flow issues, and ensuring reliable data collection and reporting. You may collaborate closely with process engineers, IT specialists, and operations teams to deliver actionable insights from process data, support real-time monitoring, and tailor system features to user needs. Additionally, you could be responsible for documentation, user training, and providing technical support to end users. This role blends technical implementation with stakeholder interaction, offering varied challenges and opportunities to make meaningful impact on operational performance.
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Osisoft Pi Engineer jobs near you

Development Engineer

Power Systems Mfg., LLC

Jupiter, FL • On-site

Full-time

Posted 6 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.

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