Healthcare powered by ATG intelligence

Data Engineer

• Design, build, and maintain robust data pipelines and infrastructure for large-scale AI research, applied AI, and production systems
• Own the data platform end to end, including ingestion, storage, transformation, cataloging, governance, and access
• Build reliable pipelines for large, heterogeneous datasets, schema changes, late data, revisions, backfills, and vendor failures
• Ensure research-grade correctness through point-in-time data, lineage, versioning, reproducibility, and prevention of look-ahead and survivorship bias
• Create trusted data products by normalizing identifiers, timestamps, corporate actions, reference data, and unstructured sources into accessible datasets and APIs
• Enable AI-native systems with permission-aware interfaces, metadata, datasets, and benchmarks for researchers and agents
• Partner with research and engineering to turn ambiguous problems into durable data capabilities

Member of Technical Staff, Data Pipelines

Software Engineer

• Design, build, and maintain robust data pipelines and infrastructure for large-scale AI research
• Build and operate ETL pipelines for large, heterogeneous datasets
• Develop and manage storage, cleaning, labeling, and data access infrastructure
• Build tools for data quality, validation, and monitoring
• Collaborate to create datasets and benchmarks for novel ML problems
• Ensure researchers and engineers have clean, reliable, high-quality data for every experiment