Python Automation Engineer: 3D Inspection & Dashboards (Onsite)

Insight Global; Longueuil; On-site; CAD 70,000 - 100,000; Full time

Job summary

Insight Global is seeking a Python Programmer to join a top aerospace company in Longueuil, QC. The role is onsite five days a week and focuses on automating part inspection using 3D scanning, from requirements to extracting measurement results.

The candidate will also work on inspection plan generation tools, databases, and dashboards, using Python, Pandas, and metrology software like GOM/PolyWorks. Fluency in English and French is a plus; familiarity with XML/YAML/CSV formats is preferred.

Qualifications

• Bachelor’s degree in mechanical or software engineering.
• Advanced knowledge of Python, especially Pandas.
• Familiar with Git and GitHub basics.
• Experience with GOM or PolyWorks.

Responsibilities

• Develop Python-based automation tools that support the inspection of aerospace engine components using 3D scanning technology.
• Reading and interpreting engineering inspection requirements from files such as XML, YAML, CSV, and TXT.
• Converting those requirements into inspection programs within metrology software like GOM and PolyWorks.
• Automating the extraction of measurements and inspection results from scanned parts.
• Creating automated Excel reports, databases, and dashboards to visualize inspection data and results.

Skills

Python

Pandas

Data analysis

Education

Bachelor’s degree in mechanical engineering, software engineering or related

Tools

Git/GitHub

GOM

PolyWorks

Job description

Insight Global is seeking a Python Programmer to join a top aerospace company in Longueuil, QC. The role is onsite five days a week and focuses on automating part inspection using 3D scanning, from requirements to extracting measurement results.

The candidate will also work on inspection plan generation tools, databases, and dashboards, using Python, Pandas, and metrology software like GOM/PolyWorks. Fluency in English and French is a plus; familiarity with XML/YAML/CSV formats is preferred.