Data Engineer 3
Saanvi Technologies LLC
- Dearborn, Michigan, United States
- Dearborn, Michigan, United States
About
Dearborn, MI – Hybrid: 4 days onsite, 1 day remote
Employment Type: W2
Position Description Ford Motor Company is seeking a Senior Technical Engineer to serve as a subject matter expert for the ATLAS program—our large-scale initiative modernizing workforce management for 55,000+ employees across the US and Canada. In this hybrid role, the selected candidate will act as both a System Administrator and a Data Engineer, responsible for technical configuration of the time‑keeping platform and ensuring data integrity across integrations with Payroll, HR, and Finance systems. While Ford utilizes WorkForce Software (WFS), we are looking for a highly technical resource with strong enterprise WFM and integration experience who can design complex labor rules and manage large‑scale data pipelines.
Key Responsibilities
System configuration for Time & Attendance, Scheduling, and Absence Management modules
Design and maintain ETL pipelines and API integrations (REST/SOAP)
Translate union contracts, labor laws, and work rules into system logic
Manage platform governance, security roles, upgrades, and environment stability
Build SQL-based reports and perform advanced data analysis
Skills Required
SQL, Python, SaaS
Experience Required Engineer 3 Experience: 7+ years Data Engineering work experience.
Education Required Bachelor's Degree
Additional Information
Hybrid: 4 days a week onsite.
Enterprise WFM configuration experience (WFS preferred, UKG/Kronos, Dayforce, SAP SuccessFactors)
Advanced SQL and ETL development experience
API / data integration experience (REST, SOAP, XML, flat files)
Strong technical/business requirements translation skills
Agile / Jira experience
Experience required: 10+ years IT experience in large-scale enterprise environments
Hands‑on WFM configuration for 10,000+ employee environments
HR/Payroll data integration and system support experience
Experience with union work rules and manufacturing environments
Familiarity with US/Canadian labor regulations (FLSA, provincial laws)
Preferred experience: WorkForce Software hands‑on experience; Cloud data tools (GCP, BigQuery, etc.); Automotive or industrial manufacturing experience
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Languages
- English
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