Data Engineer, Infrastructure

As a Data Engineer on the Infrastructure team, you will build and maintain the data foundation that powers Aaru’s simulations. You will work across large internal and third-party datasets, designing reliable integration workflows, and ensuring that data can be linked, queried, and trusted at scale. This role sits at the intersection of data engineering and architecture and is critical to how Aaru produces predictive intelligence.

• Build and maintain scalable pipelines to ingest, clean, and integrate large multimodal datasets
• Own data ingestion across APIs, flat files, cloud storage, and data warehouses
• Design workflows for linkage, entity resolution, deduplication, and schema harmonization across imperfect or incongruent datasets
• Work with engineering, research, and deployment teams to make integrated data usable for simulation ingestion
• Establish and monitor data quality checks, validation logic, and documentation across datasets and pipelines
• Help evaluate new data sources and determine how they can be joined with existing data assets