We offer
the following

benefits:
• 100% payroll scheme
• 20 days
- Christmas bonus
• 12 days of vacation on the first year
• 8% (cap) saving fund
• 11% (cap) of food coupons
• Employer-paid medical, dental, vision, and life insurance; medical insurance for employees, Gym bonus support
• Education reimbursement (Up to MXN 54,000 per year)
• 30% vacation bonus
• 10 days paternity leave
• Work at Home Bonus for office equipment 1-time MXN 5,000 Key Responsabilities
• Design and implement ingestion and normalization processes for vendor stability reports and related files.
• Build data structures supporting programs, studies, lots, time points, assay attributes, results, specifications, deviations, vendors, reference standards, and critical reagents.
• Support automatic generation and tracking of operational time points using study start dates and applicable scheduling rules.
• Implement data-quality controls for completeness, consistency, valid relationships, duplicate information, and reliable status tracking.
• Build the data-processing workflow for AI-assisted vendor-report extraction, including proposed values, confidence indicators,



human review, and approved value retention.
• Preserve source references and traceability for extracted or transcribed vendor-derived information.
• Ensure extracted values are never saved automatically and that AI-assisted functionality remains limited to data entry support.
• Prepare operational data for portfolio views, overdue-report tracking, review status, OOS/OOT visibility, deviations, trends, and CSV exports.
• Collaborate with the BI Analyst on operational metrics, dashboard data, trend visualization, and reporting validation.
• Build pipeline monitoring, error handling, reconciliation, documentation, and support procedures.
• Partner with the Full Stack Engineer on application data models, APIs, workflow state, and data-quality behavior.
• Participate in backlog refinement, technical design, testing, release planning, production support, and knowledge transfer.
• Help establish reusable data-engineering practices for future ITJ TechOps products without expanding our internal application beyond its approved scope.

📌 Data Engineer (Tijuana)
🏢 ITJ
📍 Tijuana