DatologyAI
Software Engineer, Data Infrastructure
$180K–$300K
San Mateo HQ · Hybrid · Full-time · Posted Mar 20, 2025
- Experience
- 4+ years in data engineering.
- Visa sponsorship
- Visa sponsorship is provided for candidates selected for this role.
About the job
Lead development of DatologyAI’s data platform and backend systems for processing customer data and applying research to identify informative data in large-scale datasets.
What you'll do
- Design, build, and maintain scalable, reliable, and secure data processing solutions.
- Architect, build, and deploy backend systems and services for the data curation platform.
- Partner with researchers and engineers to deliver product features and research capabilities.
What they ask for
- 4+ years of data engineering experience, including end-to-end ownership of production systems across scalable processing, storage, lakes/warehouses, SQL, and workflow orchestration.
- Proficiency in Python, Scala, or Java.
- Experience as a technical lead of a Data Engineering, Platform, or Infrastructure team.
- Experience building ML/DL systems or data infrastructure that feeds large-scale model training.
Pay
$180,000 to $300,000 USD base salary
Tools
Spark, Flink, HDFS, S3, Snowflake, Hive, SQL, Airflow
AI focus
Build data infrastructure and systems that process customer data and support large-scale model training and data curation research.
Model-written summary · the original posting is authoritative