Senior Data Engineer – Knowledge Graph Systems $$$$ Offline

Lead the development and scaling of our scientific knowledge graph—ingesting, structuring, and enriching massive datasets from research literature and global data sources into meaningful, AI-ready insights.
Requirements:
 

• Strong experience with knowledge graph design and implementation (Neo4j, RDFLib, GraphQL, etc.).
• Advanced Python for data engineering, ETL, and entity processing (Spark/Dask/Polars).
• Proven track record with large dataset ingestion (tens of millions of records).
• Familiarity with life-science or biomedical data (ontologies, research metadata, entity linking).
• Experience with Airflow/Dagster/dbt, and data APIs (OpenAlex, ORCID, PubMed).
• Strong sense of ownership, precision, and delivery mindset.
   

Nice to Have:

• Domain knowledge in life sciences, biomedical research, or related data models.
• Experience integrating vector/semantic embeddings (Pinecone, FAISS, Weaviate).