Overview
Remote
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Data Integrity
Meta-data Management
Documentation
Data Structure
Extraction
Collaboration
Auditing
Knowledge Transfer
Legacy Systems
Management
Scripting
Python
VBScript
ENOVIA
Data Extraction
Data Migration
Conflict Resolution
Problem Solving
Attention To Detail
Aerospace
Plant Lifecycle Management
Product Lifecycle Management
Regulatory Compliance
ITAR
Job Details
Job Description:
Job Summary:
We are seeking a contract-based ENOVIA Data Extraction Specialist for a 6-month engagement to support our digital engineering initiatives. The role involves extracting legacy data and checked-in files from the ENOVIA 2012 platform, ensuring data integrity and compliance with internal and regulatory standards.
Key Responsibilities:
Extract and migrate data from ENOVIA 2012, including checked-in files, metadata, and associated documentation.
Analyze and validate data structures to ensure completeness and accuracy during extraction.
Collaborate with engineering, IT, and compliance teams to define data requirements and ensure secure handling.
Develop scripts or use existing tools to automate data extraction processes where applicable.
Document procedures, mappings, and transformation logic for audit and knowledge transfer purposes.
Troubleshoot and resolve issues related to data access, permissions, and legacy system compatibility.
Required Qualifications:
U.S. Citizenship (mandatory due to data sensitivity and compliance requirements).
5+ years of experience working with ENOVIA PLM systems, specifically version 2012 or similar.
Strong understanding of ENOVIA data models, vaults, and file management.
Proficiency in scripting languages (e.g., Python, VBScript) or ENOVIA APIs for data extraction.
Experience with data migration, transformation, and validation techniques.
Excellent problem-solving skills and attention to detail.
Preferred Qualifications:
Experience in aerospace, defense, or regulated industries.
Familiarity with digital engineering practices and PLM integration.
Knowledge of compliance standards such as ITAR, DFARS, or NIST.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.