DataEngineer

About Rimes Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world’s leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology. The Opportunity: We’re looking for a Data Engineer to own data onboarding and build scalable, reliable data pipelines that power analytics, operational workflows, and data‑driven decisions across Rimes. You’ll work closely with data producers, analysts, and product teams to ingest, transform, and operationalize data—primarily within Palantir Foundry (our core data platform) and complementary cloud compute. Note: Experience with Palantir Foundry is a strong plus but not required. If you bring solid data engineering fundamentals in Python/PySpark, SQL, and modern ELT patterns, we’ll support a fast ramp‑up on Foundry. Responsibilities: Ingest schedule and automate batch/stream refreshes. Model and operationalize data (e.g., defining entities/relationships) to support analytics and operational applications in collaboration with domain experts. Ensure trust in data through testing, data quality checks, observability/alerting, lineage, and compliant access controls. Collaborate with analysts and product teams to translate business requirements into robust data solutions and clear data contracts/SLOs. What Success Looks Like (First 3–6 Months): You onboard and productionize new data sources with reliable refresh (scheduled or real‑time). You deliver trusted, well‑documented datasets consumed by analytics and operational teams. Key business entities are clearly modeled and discoverable. Pipelines have meaningful monitoring and alerting, with reduced failures/re‑runs. You contribute to stan