# Hire the best remote Databricks CLI employees

Discover 27 remote Databricks CLI workers who are looking for their next full-time, part-time or freelance opportunity on Himalayas.

Source: https://himalayas.app/talent/databricks-cli

## 27 remote workers

| Person | Role | Location | Salary expectations | Intro |
| --- | --- | --- | --- | --- |
| [Yuri Barreira](https://himalayas.app/@yuribarreira) | Cloud DevOps Engineer | Brazil | 174k+ BRL | Cloud & DevOps Platform Engineer at GFT building Databricks AI applications and platform automation. |
| [SRI LAKSHMI SWATHy](https://himalayas.app/@srilakshmiswathy) | Data Engineer | India | 2444k+ INR | Senior Data Engineer at STOLT NIELSEN LIMITED building Databricks pipelines and curated datasets for shipping operations. |
| [Rahul G](https://himalayas.app/@rahulg2) | DevOps Engineer | United States |  | DevOps Engineer at Amazon Web Services who automated AWS infrastructure and cut release time by 68%. |
| [Oluwagbade Odimayo](https://himalayas.app/@oluwagbadeodimayo) | Cloud Engineer | United Kingdom | 35k+ GBP | Cloud engineer intern at Cloud Advisory, deploying Azure and AWS infrastructure and building a monitored AKS delivery pipeline. |
| [Abhiraj Karpe](https://himalayas.app/@abhirajkarpe) | Data Engineer | India | 70k+ INR | Data Engineer. I build batch, streaming, and CDC data pipelines that improve latency, storage, and analytics performance. |
| [Nayan Goyal](https://himalayas.app/@nayangoyal) | Data Engineer | India |  | Data Engineer at Celebal Technologies who cut Databricks pipeline runtimes to 8–10 minutes and automated setup by 70%. |
| [Neha N](https://himalayas.app/@nehan1) | Platform Engineer | United States | 110k+ USD | I build secure Azure, Kubernetes, and Databricks platforms for regulated enterprises. |
| [Vinutha Vishwanatha Devadiga](https://himalayas.app/@vinuthavishwanathade) | Data Engineer | India |  | Dedicated Data Engineer with expertise in scalable data solutions. |
| [Apeksha Sansare](https://himalayas.app/@apekshasansare) | Cloud Data Engineer | India |  | Cloud Data Engineer leveraging Azure and PySpark to deliver accurate, high-performance analytics. |
| [James Adams](https://himalayas.app/@jamesadams1) | Data Engineer | United States |  | I build high-throughput data platforms and ML infrastructure for production AI applications. |
| [Rubleen Hanspal](https://himalayas.app/@rubleenhanspal) | Software Engineer | India | 100k+ USD | Software Engineer at Epsilon who migrated a 49-billion-row ETL pipeline to AWS S3 and Databricks. |
| [Henrique Frank](https://himalayas.app/@henriquefrank1) | Data Engineer | Brazil | 110k+ USD | Senior Data Engineer at BHP who improved query performance by 45% and cut warehouse costs by 40%. |
| [Harshit Tomar](https://himalayas.app/@harshittomar) | Data Engineer | India | 200k+ INR | I build scalable Databricks pipelines and executive analytics that reduce costs and accelerate insights. |
| [Sanket Bhattacharjee](https://himalayas.app/@sanketbhattacharjee) | Data Scientist | Zimbabwe |  | Data Scientist focused on applied AI, multimodal vision-language models, LLM adaptation, and production-ready pipelines. |
| [Bhargav Chowdary](https://himalayas.app/@bhargavchowdary) | Senior Software Engineer | United Kingdom |  | Senior software engineer specializing in data infrastructure, cloud-native backends, and performance-driven pipelines. |
| [ketan khurana](https://himalayas.app/@ketankhurana1) | Data Engineer | India |  | I build scalable cloud data pipelines and GenAI RAG solutions. |
| [Abhishek Mandal](https://himalayas.app/@abhishekmandal) | Data Engineer | United States |  | I build scalable Databricks and Azure data platforms that improve reliability and business outcomes. |
| [Ogheneruona Dabie](https://himalayas.app/@ogheneruonadabie) | Software Engineer | United States |  | I build production web platforms, APIs, and developer tooling that improve delivery speed and reliability. |
| [nazim lounas](https://himalayas.app/@nazimlounas) | Data Engineer | Canada | 75k+ CAD | Data Engineer at Morgan Stanley who built MongoDB log archiving that cut retrieval time by about 99%. |
| [shivanimoparthi User](https://himalayas.app/@shivanimoparthiuser) | Analytics Engineer | India |  | Analytics Engineer who builds governed data pipelines and AI-assisted BI workflows. |

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To contact someone, message them from their profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).