# Member of Technical Staff — Data Infrastructure at Causal

- Company: Causal
- What the company does: Backed by Accel.
- Company website: https://www.causal.app/
- Type: Startups
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-07-19
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/causal/efe237b6-c880-4249-ab9e-85bf1bd29d80
- Page: https://www.1752.vc/careers/jobs/causal-member-of-technical-staff-data-infrastructure/

## About the role

Design and operate petabyte-scale storage: lakehouse architecture, file formats, and data layout optimized for both batch and real-time queries Own the shared compute and orchestration platform (e.g. Spark, Ray, workflow scheduling) that ingestion and research pipelines run on

## What they're looking for

- We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains
- Demonstrated experience building large-scale data pipelines and distributed compute systems (e.g. Spark, Ray, Beam)
- Knowledge of state-of-the-art methods and tools for data ingestion, storage, and loading — including file formats and storage systems (e.g. Parquet, Zarr, Delta Lake) and how they impact performance and scalability
- Deep familiarity with cloud infrastructure, data lake architectures, and batch and streaming pipelines
- Understanding of how data loading throughput affects large-scale training, and experience optimizing it
- Owns deliverables end-to-end, from collecting and translating requirements to autonomously driving execution

Tags: Infrastructure