ABOUT XTENDOPS
XO delivers outsourced customer experience and business operations, built on operational excellence, AI-driven innovation, and a bold approach to problem-solving. We help companies run smarter, operate more efficiently, and drive measurable business impact.
We are in the middle of a massive evolution, expanding beyond traditional outsourcing into a next-generation model that integrates AI, automation, and SaaS-driven solutions to deliver outcome-focused business services. Our vision is not just to improve CX. It is to reinvent how businesses leverage technology, data, and human expertise to create intelligent, scalable, and revenue-generating service models.
MAIN JOB OBJECTIVE: The Data Platform Engineer owns the infrastructure and orchestration that the data platform runs on, and builds the deployment path that lets new client accounts be stood up without manual provisioning. Orchestration and CI are already in place,
but infrastructure is not yet managed as code and platform ownership currently sits with the team lead alongside other responsibilities. This role is central to scaling client onboarding into a repeatable process and to building the delivery path that pushes modeled data into a client-facing analytics product. This is a hands-on engineering role with broad ownership of the platform layer, not of production data models or application front ends.
RESPONSIBILITIES AND MAIN ACTIVITIES
Orchestration:
Own Apache Airflow and the orchestration layer, including the factory pattern that generates pipelines per client, and extend it as accounts are added.
Build and maintain custom operators and shared pipeline components, so common patterns are solved once rather than per account.
Own retry behavior, idempotency, and backfill strategy, so a failed run recovers cleanly instead of leaving partial data behind.
Sequence and schedule the full path from ingestion through transformation to publishing, coordin
📌 Data Platform Engineer (México)
🏢 XtendOps
📍 México
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