WorkForce Data Engineer Consultant - W2 position - Hybrid - Direct client - FORD Motors - 324382

  • Dearborn, MI
  • Posted 15 hours ago | Updated 15 hours ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

System Design
Systems Engineering
Testing
SaaS
Workforce Management
Software Documentation
SQL
Oracle
Web Applications
System Administration
Six Sigma Methodology
Warehousing
Access Controls
API
GCP

Job Details

Role: Data Engineer with WorkForce(W2 Position)

Location: Dearborn, MI Hybrid (4 days in office)

Duration: 12+ Months

Experience: 7+ Years

Client : Ford Motors

JD:

Skills Required:

System Design, Systems Engineering, Testing, SaaS, Workforce Management, Software Documentation, SQL, Oracle, Web Applications, System Administration, Six Sigma Methodology, Warehousing, Access Controls, API, Google Cloud Platform

Experience Required:

Engineer 3 Exp: 7+ years Data Engineering work experience

Experience Preferred:

Basic Qualifications:

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.

5+ years of extensive experience in the implementation, configuration, and support of WorkForce Software (WFS) or other enterprise-level Workforce Management (WFM) systems.

Proven experience owning and delivering complex system integrations, including working with APIs, web services (SOAP, REST), and ETL processes.

Strong proficiency in SQL for data querying, analysis, and reporting.

Experience with data architecture concepts and integrating data into data lakes or similar analytical platforms.

Demonstrated experience in designing and developing reports and dashboards.

Excellent analytical, problem-solving, and communication skills, with the ability to translate technical concepts to non-technical stakeholders. Preferred Qualifications:

Master's degree in a relevant technical field.

WorkForce Software certifications.

Experience with other scripting languages such as JavaScript.

Prior experience with large-scale HRIS or payroll system implementations.

Familiarity with Ford Global Data & Insight & Analytics (GDIA) processes and tools.

Experience working in the automotive industry or a large manufacturing environment with hourly employee populations.

Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

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.