Jobs at Rimes Technologies

Inspect and profile new financial datasets, build and test conceptual/logical/physical data models, document field definitions and relationships, collaborate with Data Engineering to produce ETL/ELT-ready schemas, and maintain model alignment and data quality.

Design, build and operate scalable Databricks/PySpark data pipelines to ingest, transform and validate financial vendor data into production-ready datasets, partnering with product and client teams to meet quality and timeline requirements.

Serve as the client-facing owner of service delivery for financial data products: monitor feeds, troubleshoot issues, resolve client queries and escalations, manage KPIs, run trainings/demos, document processes, and support product use to ensure high-quality client outcomes.

The Enterprise Sales Engineer partners with sales to lead the technical sales process, engage with clients, design solutions, and deliver compelling product demonstrations, focusing on investment data management and analytics.