Radically transform cloud infrastructure with ML-powered job clusters to hit SLA goals and lower Databricks costs by 50%
Cloud Computing β’ Cloud Infrastructure β’ Apache Spark β’ Databricks β’ Optimization
11 - 50
July 17
π‘ Remote β New York
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
Apache
AWS
Azure
Cloud
Google Cloud Platform
JavaScript
Microservices
Python
React
Spark
TypeScript
June 27
π’ Junior
π° Data Engineer
Airflow
SQL
June 26
π Data Scientist
June 3
π΅ Sales Development (SDR)