About The Role
The data engineer role is changing. The traditional pattern—build a pipeline, hand it off, wait for someone else to figure out if the data is right—doesn’t work anymore. The engineers who create the most value now are the ones who go deep into the business domain, understand the problem firsthand, and use AI tools to move from question to working solution in hours instead of sprints.
MDVIP’s Analytics team is looking for a Senior Data Engineer who operates as a hybrid technical product owner: someone who builds and maintains the data platform on Azure Databricks, but who also sits with business stakeholders, interrogates the problem, and owns the outcome end-to-end. You won’t wait for requirements to be handed to you. You’ll go find them, validate them, and ship the solution—using Claude Code and agentic development patterns to collapse the distance between understanding a business problem and solving it in production.
This is what it means to shift the engineer left into the business domain. You’re not a pipeline builder waiting for a ticket.
You’re the person who understands how physician network growth, member engagement, and operational performance actually work—and who builds the data infrastructure that makes the entire Analytics team faster, sharper, and more impactful.
What You’ll Do
Own the Data Platform
- Design, build, and operate MDVIP’s data platform on Azure Databricks—ingestion, transformation, storage, and serving layers that power analytics, AI models, and operational reporting.
- Build and maintain data pipelines across MDVIP’s ecosystem: Salesforce, SQL Server, Snowflake, third-party sources, and the new cloud-native payments platform.
- Engineer for quality and trust—validation checks, anomaly detection, lineage tracking, and documentation that ensure every downstream consumer can rely on the data.
- Write clean, version-controlled, production-grade code. Think like a software engineer building a product, not a script runner mai
📌 Senior Data Engineer (Chile)
🏢 Perform
📍 Chile