We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world – together. At Ford, were all a part of
TEKsystems is looking for a Program/Project Manager with experience large data engineering and data migration projects. The position requires three days onsite in Dearborn, Michigan. Key Responsibilities • Serve as technical lead for data engineering, owning
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility,
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility,
We made history and now we work to transform the future – for our customers, our communities and our families. Youll see your work on the road every day, helping people move freely and pursue their
Duties: Lead the configuration effort of new interfaces and enhancements to existing interfaces for Epic applications and their corresponding ancillary systems. Troubleshoot technical problems and conducts analyses for efficient program/application solutions (in both Cloverleaf and Epic
Software Engineer V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six
Job Role: Java Developer- Software Engineer (3) - Core Engineer 1 Job Location: Dearborn, MI (Onsite) Job Description: Position Description: Software Engineer position within IT Product team responsible for full cycle systems development activities including software
Job Role: Data Engineering Engineer Job Location: Dearborn, MI Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing