ITJ
Data Engineer
Data Engineer at ITJ in Tijuana builds pipelines that ingest, normalize, and quality-check pharma vendor stability reports, powering AI-assisted extraction that stays human-in-the-loop. They prepare operational data for dashboards, tracking, and CSV exports, working with BI and full-stack engineers.
- Compensation
- Not disclosed
- Location
- Tijuana, Mexico
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Full description
- 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.