Ignition Engineer – SCADA & AI Systems Lead

Zeus

United States

On-site

USD 100,000 - 140,000

Full time

14 days+

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Job summary

Zeus is seeking a seasoned engineer to design, implement, and maintain the data infrastructure supporting Ignition‑based SCADA and AI initiatives across our manufacturing sites. You will collaborate with IT, Engineering, and Manufacturing to develop data applications and integrate ML models in a secure, scalable way.

You will lead projects from blueprinting to deployment, ensure robust performance, and may travel to various sites to install and support automation equipment.

Qualifications

  • ABET-accredited BS in engineering, ideally with CS minor.
  • 2–8 years in manufacturing with integrated software/SCADA like Ignition.
  • 3+ years Ignition scripting (Jython) or Python/Java.
  • 3+ years SQL and data modeling for software solutions.
  • Certified with Ignition 7.0 or greater.
  • Knowledge of software development life cycle and GMP/ISO familiarity.

Responsibilities

  • Design, build, and maintain data infrastructure for data retrieval, storage, and processing.
  • Develop and deploy high-level data apps and ML models securely and effectively.
  • Coordinate with IT, Engineering, and Manufacturing for Ignition and AI implementation.
  • Implement new Ignition features, monitor security, reliability, and performance.
  • Troubleshoot complex issues and ensure successful Ignition projects.
  • Follow SOPs and drive continuous improvement; may travel to sites to support equipment.

Skills

Ignition scripting (Jython)
Python/Java experience
SQL and data modeling
Problem-solving skills
Project management
Independent and team-oriented work

Education

BS in Engineering (ABET-accredited)

Tools

Ignition

Job description

Zeus is seeking a seasoned engineer to design, implement, and maintain the data infrastructure supporting Ignition‑based SCADA and AI initiatives across our manufacturing sites. You will collaborate with IT, Engineering, and Manufacturing to develop data applications and integrate ML models in a secure, scalable way.

You will lead projects from blueprinting to deployment, ensure robust performance, and may travel to various sites to install and support automation equipment.

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