Data Engineer
Role details
Job location
Tech stack
Job description
· Our 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 timekeeping platform and ensuring data integrity across integrations with Payroll, HR, and Finance systems.
· While 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
Requirements
· SQL
· Python
· SaaS
Experience Required:
· Engineer Exp: 7+ years Data Engineering work experience
Education Required:
· Bachelor''s Degree
Primary Skills Required:
· 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 Canadian labor regulations (FLSA, provincial laws)
Preferred Experience:
· Workforce Software (WFS) hands-on experience
· Cloud data tools (Google Cloud Platform, BigQuery, etc.)
· Automotive or industrial manufacturing experience