Aaru
Data Engineer, Infrastructure
New York, NY · Full-time · Posted May 27, 2026
- Experience
- 3+ years; data integration, data engineering, ETL/ELT, or a similar role involving large-scale datasets.
- Visa sponsorship
- Visa sponsorship is offered.
About the job
Build and maintain data infrastructure that integrates large datasets into reliable, usable inputs for Aaru’s simulations.
What you'll do
- Build scalable pipelines to ingest, clean, and integrate multimodal datasets from APIs, files, cloud storage, and warehouses.
- Design data-linkage, entity-resolution, deduplication, and schema-harmonization workflows.
- Monitor data quality, validation, and documentation, and coordinate with teams to prepare data for simulation ingestion.
What they ask for
- 3+ years of experience in data integration, data engineering, ETL/ELT, or a similar role involving large-scale datasets.
- Hands-on experience with high-volume data (>100 TB) and building reliable systems at scale.
- Fluency in SQL and Python.
- Strong judgment around data quality, inconsistencies, edge cases, and integration risks.
Nice to have
- Experience with alternative data or matching/entity-resolution systems.
- Familiarity with privacy, compliance, and data licensing for sensitive or third-party data.
Tools
SQL, Python, Snowflake, BigQuery, Databricks
AI focus
The integrated data foundation powers Aaru’s AI agents and simulations that predict human behavior.
Model-written summary · the original posting is authoritative