Data Engineer

Data Engineer – Biological Data Pipelines & AI Systems

Compensation: $110,000 - $140,000 + Equity

About Shiru

Shiru is building the future of ingredient discovery and operating at the cutting edge of applied AI from our core R&D differentiation to company operations. We’re a lean, fast-moving deep tech startup that achieves outsized impact with a small, high-performing team. As we scale, we’re looking for a talented data engineer to help us push the boundaries of what’s possible in biological data and AI—building the infrastructure that powers next-generation ingredient discovery.

The Opportunity

As a Data Engineer at Shiru, you’ll be at the heart of our mission—building the data infrastructure that powers the future of ingredient discovery. You’ll architect and scale advanced biological data pipelines, transforming massive protein and nucleotide datasets into actionable insights that drive scientific breakthroughs. From designing robust APIs and automated workflows to deploying cutting-edge AI systems like RAG pipelines and LIMS integrations, you’ll enable our team to move faster and smarter than ever before.

This is a unique opportunity for a data engineer who thrives at the intersection of bioinformatics, large-scale data processing, and AI innovation. If you’re passionate about building systems that accelerate discovery and want to shape how technology transforms food and sustainability, we’d love to meet you.

What You’ll Do:

• Design, implement, and maintain scalable biological data pipelines for processing protein and nucleotide datasets.
• Develop robust workflows for ingestion, transformation, and indexing of biological datasets (e.g., UniProt, UniParc, BFD, PDB, GenBank).
• Build automated data validation and quality control pipelines.
• Optimize workflows for high-performance computing and large-