Jobs at Dario

Provide expert-level technical support for web and mobile products, debug high-performance RESTful services, triage incidents, coordinate cross-team incident response, collaborate with Client Success, Engineering, Product, and DevOps to resolve complex issues and improve product reliability.

Own end-to-end data solutions across ingestion, transformation, warehousing, monitoring, and dashboards. Build scalable ETL/ELT pipelines, AI-enabled workflows, and analytics products. Partner cross-functionally, operate in rotating domain ownership, ensure data quality, compliance, and delivery, and drive initiatives from architecture through production with automation and AI-assisted practices.

The AI Data Engineer will manage the full lifecycle of data solutions, including ETL pipelines, analytics, and AI-driven workflows, while collaborating with various stakeholders to support strategic and operational needs.

Lead backlog end-to-end for a DTC health mobile product: prioritize features, write acceptance criteria, run sprint planning, collaborate with stakeholders and engineering, use data to guide decisions, ensure compliance, and champion AI-driven workflows.

Investigate and resolve client-reported technical issues across web and mobile platforms, perform scenario-based testing, monitor and debug RESTful services, assist with eligibility file processing and system monitoring, coordinate with global support teams, and participate in design and code reviews to ensure platform reliability and scalability.