Data Engineer, Knowledge Graphs at Mithrl

Setup: Hybrid
Location: San Francisco, California
Type: Full-time
Posted: Dec 30, 2025

Description

Mithrl is seeking a Data Engineer, Knowledge Graphs to develop the infrastructure supporting their AI Co-Scientist platform. This role involves transforming biological data into scalable, production-ready systems, building ETL pipelines, designing graph-based data schemas, and creating APIs for querying and using the knowledge graph. The successful candidate will collaborate with Data Scientists and ML engineers to ensure the reliability and efficiency of the knowledge graph infrastructure.

Required Skills

ETL Pipelines
Schema Modeling
Graph Data Models
Python
APIs
Cloud Infrastructure
Data Architecture

Additional Information

Required Previous Experiences: Strong experience as a data engineer or backend engineer working with data intensive systems
Experience building ETL or ELT pipelines for large structured or semi structured datasets
Strong understanding of database design, schema modeling, and data architecture
Proficiency in Python or similar languages for data engineering
Experience designing and maintaining APIs for data access
Understanding of versioning, provenance, validation, and reproducibility in data systems
Experience with cloud infrastructure and modern data stack tools
Preferred Qualifications: Experience with graph databases or graph query languages
Experience with biological or chemical data sources
Familiarity with ontologies, controlled vocabularies, and metadata standards
Experience with data warehousing and analytical storage formats
Previous work in a tech bio company or scientific platform environment