Drimva

Lila Sciences

Staff Engineer, Data Platform

$192K–$288K

Cambridge, MA USA +3 · Staff · Full-time · Posted Jun 2, 2026

Location
Cambridge, MA USA
San Francisco, CA USA
Alewife, Cambridge, MA
San Francisco, CA
Experience
8+ years as a software or data engineer focused on building and operating data infrastructure.
Education
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

About the job

Sets technical direction and builds core data infrastructure for scientific discovery and machine-learning workflows, leading architecture, reliability, standards, and engineering mentorship.

What you'll do

  • Design and evolve data infrastructure, including ingestion, storage, orchestration, and data models.
  • Build and operate reliable pipelines and integrations for laboratory, public scientific, and research-literature data.
  • Lead cross-functional technical decisions, establish engineering standards, and mentor data platform engineers.

What they ask for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8+ years as a software or data engineer focused on building and operating data infrastructure.
  • Fluency in Python and SQL; experience building data platform components and operating relational and NoSQL databases at scale.
  • Experience with cloud infrastructure and containerized deployment (AWS, Kubernetes), and modern table formats and open lakehouse patterns (Iceberg, Delta Lake, Hudi).

Nice to have

  • Experience with workflow orchestration systems (Flyte, Airflow, Dagster, or similar).
  • Experience with agentic and LLM-driven data infrastructure, scientific computing, life sciences, research software, or AI-assisted development tools.

Pay

$192,000 — $288,000 USD (base salary)

Tools

Python, SQL, AWS, Kubernetes, Iceberg, Delta Lake, Hudi, Flyte

AI focus

Build data infrastructure for scientific and ML workflows; preferred experience includes agentic and LLM-driven workflows, vector databases, RAG infrastructure, retrieval-optimized data access, and AI-assisted development tools.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)