Worldly

Data Engineer

• Build, operate, maintain, and evolve systems supporting internal analytics and customer-facing analytics platforms
• Own the production CDC-fed medallion data lake on Apache Iceberg queried through Trino
• Operate and evolve the Postgres data warehouse, including schema, performance, access controls, and analytics-ready datasets
• Own CDC ingestion from source databases through message bus, streaming writer, and Iceberg bronze/silver/gold layers
• Operate the Trino query layer and table catalog
• Own pipeline health, including latency SLAs, schema-drift detection, and source reconciliation
• Manage GitOps/Terraform infrastructure and backup/disaster-recovery posture
• Establish consistent schemas, documented lineage, and clear ownership across the data estate
• Maintain and evolve Dagster-orchestrated dbt pipelines, including sensor-triggered and scheduled builds, data-quality tests, and branch-based versioning
• Operate the BI/reporting layer with per-user, policy-based data access and consistent metric definitions
• Own pipelines integrating the graph database with the warehouse, lake, and primary databases
• Migrate legacy direct-to-graph services onto a shared integration path and evolve relational structures into graph-native models
• Support and extend production genAI workflows including embeddings/similarity search and LLM-based extraction and classification
• Keep data infrastructure AI-ready
• Collaborate with data science and cross-functional analytics stakeholders
• Participate in incident triage, root-cause analysis, runbook development, and reliability improvements

Senior Data Engineer

Data Analyst

• Work directly with large, complex sustainability datasets to support development and maintenance of Worldly’s impact content
• Conduct content quality assurance (QA) and user acceptance testing (UAT) for sustainability calculations, metrics, and related content
• Update and maintain complex assessment-defining files based on stakeholder specifications
• Manage analytical content governing customer data exports
• Investigate and resolve data issues by tracing outputs to source data and underlying logic
• Query Worldly data with SQL for internal and external customer needs
• Collaborate with product, engineering, and customer-facing teams to align data outputs with platform needs and customer expectations
• Improve automation, documentation, and internal understanding of calculations, metrics, and data structures
• Conduct targeted research projects

Senior Data Engineer

Sustainability Data Analyst