Data Migration Engineer

Position Overview (US citizenship required)We are seeking an innovative and motivated problem solver to join our team as an Entry-Level CAD/PLM Data Migration Engineer. This is an excellent opportunity to build expertise in CAD, PLM, databases, and programming while working alongside experienced engineers on cutting-edge digital transformation projects.You will contribute to CAD and PLM data migration initiatives that support leading manufacturing industries including aerospace, automotive, electronics, and medical devices. This role offers hands-on experience in one of the fastest-growing areas of Industry 4.0 and digital transformation.Key ResponsibilitiesSupport CAD and PLM data extraction, transformation, and loading (ETL) activities.Apply programming and database skills.Configure and automate migration tools and processes.Troubleshoot migration and data management issues through root-cause analysis.Collaborate with project teams to deliver successful PDM/PLM migrations.Develop technical documentation and reports.Contribute innovative ideas to improve processes and solutions.Required QualificationsU.S. citizenshipBachelor’s degree in Data Engineering, Mechanical Engineering, Computer Science, Information Technology, Engineering, or related field (or relevant CAD/PLM experience).Willingness to relocate to Spokane, Washington.0–3 years of experience.Strong analytical and problem-solving skills.Experience with SQL and databases.Programming knowledge in Java, C#, C++, or Visual Basic.Preferred QualificationsExposure to CAD or PLM systems such as Creo, SOLIDWORKS, NX, CATIA, Inventor, AutoCAD, Windchill, Teamcenter, 3DEXPERIENCE, Aras, or PDM systems.Strong communication skills and ability to work collaboratively.About UsWe specialize in implementing, migrating, and integrating leading PDM and PLM platforms, helping organizations accelerate digital transformation. Headquartered in Spokane, Washington, with a subsidiary office in Pune, India, we work across 40+ CAD, PDM, PLM, and ERP systems to solve complex engineering data challenges. We value creativity, independent thinking, professional growth, and work-life balance, offering competitive compensation, training, and long-term career development opportunities.