Data Engineering Engineer

Dearborn, Michigan – Data Engineering Engineer #1057469

We are looking for a Senior PLM Developer to architect and build a next-generation migration pipeline from Teamcenter to 3

DEXPERIENCE. This role is unique in its requirement to develop AI-driven automation tools that identify and resolve data discrepancies (attribute mismatches, structure gaps, and metadata conflicts) during the transfer. Responsibilities include consuming Teamcenter APIs, managing a middle data layer, and utilizing XPDM and CAA to ingest high-fidelity data into 3DX.

• Build and maintain Java-based migration utilities to extract data from Teamcenter (via SOA/Middle Layer) and import it into 3
  
  DEXPERIENCE.
• Develop and implement AI/Machine Learning models or logic-based automation to detect, categorize, and auto-correct data discrepancies between the source and target systems.
• Utilize XPDM (Cross-Platform Data Management) frameworks to facilitate seamless data exchange and ensure data integrity within the 3
  
  DEXPERIENCE environment.
• Write and optimize CAA (Component Application Architecture) scripts to handle complex geometry and metadata requirements within the 3DX/CATIA environment.
• Interface with Teamcenter's middle data layer to extract PLM objects, BOM structures, and CAD datasets.
• Define complex mapping logic to transform Teamcenter's data model into the 3DX Unified Typography.

• Proven track record of at least one major Teamcenter-to-3DX migration project.
• Experience with ENOVIA/3DX data modeling and configuration.
• Knowledge of Python for rapid prototyping of AI/data-cleansing models.
• Strong analytical skills to handle edge cases in data migration where standard mapping fails.

• Engineer 2
  
  Experience:
  
  4+ years of Data Engineering work experience in the PLM Domain.

• Expert-level Java development (Core Java, Multi-threading, RESTful API consumption).
• Java scripting and a deep understanding of the XPDM integration framework.
• Experience consuming Teamcenter SOA (Service Oriented Architecture) and understanding the Teamcenter Data Model.
• Familiarity with AI/ML frameworks (e.g., Python libraries like Scikit-learn or Pandas, or LLM-based data cleaning) to automate the resolution of data conditions and discrepancies.
• Experience with a "Middle Data Layer" or staging databases (Mongo
  
  DB) to transform data before final import.
• Understanding of CAD data structures (Item Revisions, Datasets, BOMs) and how they translate between different PLM platforms.

• C++
• Teamcenter

• Bachelor's Degree

• Medical and dental coverage (Fast Tek pays the majority of the medical program).
• Vision
• Personal Time Off (PTO) Program
• Long-Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match