57 Remote Cloud Data Engineer Jobs

Explore flexible and work from home cloud data engineer positions available worldwide. Your career in truly remote companies - apply today.

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Cloud Data Engineer
🌍 Location
πŸ” Keywords
βšͺ️ Experience
0 Jobs
πŸ†• Date Added

3 days ago

As a Cloud Engineer, improve customer experience while developing functional systems and collaborating with teams.

December 11

As a Cloud Operations Engineer at Acquia, you'll design secure solutions and ensure availability for our platform.

πŸ‡¨πŸ‡· Costa Rica – Remote

πŸ’° Secondary Market on 2018-08

⏰ Full Time

🟒 Junior

β›‘ DevOps & Site Reliability Engineer (SRE)

December 10

Join Plain Concepts as a Cloud Engineer to design and implement cloud solutions in Azure. Be part of a multidisciplinary team focused on AGILE project management.

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Top Companies Hiring Remote Cloud Data Engineers

Atmosera

Azure Cloud Provider β€’ IaaS and PaaS β€’ Enterprise-Grade Clouds

51 - 200

Job Openings

Caixa MΓ‘gica Software

Linux β€’ Open Source consultancy & developement β€’ Training

51 - 200

Job Openings

Collective[i]

Artificial Intelligence β€’ Machine Learning β€’ Neural Network

51 - 200

Job Openings

EUROPEAN DYNAMICS

Information & Communication Technologies β€’ e-Government β€’ e- Business

501 - 1000

Job Openings

Federal Trade Commission

Consumer Protection β€’ Competition

1001 - 5000

Job Openings

Remote Cloud Data Engineer Salary Expectations

The average salary for remote cloud data engineers is $120,361 per year. This is based on data from 9 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.

Below is a breakdown of salary data by years of experience:

ExperienceNumber of roles analyzedAverage Salary

🟑 Mid-level Cloud Data Engineer (2-4 yrs)

7$119,532

🟠 Senior Cloud Data Engineer (5-9 yrs)

2$123,261

Frequently asked questions

You need strong programming skills in languages like Python or Java, experience with cloud platforms such as AWS, Azure, or Google Cloud, knowledge of SQL and NoSQL databases, and data modeling expertise. Additionally, skills in data warehousing, ETL processes, and data pipeline construction are essential.

Typically, a degree in computer science, information technology, or a related field is required. Hands-on experience in data engineering or cloud computing is crucial. Certifications in relevant cloud services or big data technologies can enhance your profile.

Responsibilities include designing and building data pipelines, maintaining cloud infrastructure, ensuring data quality and integrity, collaborating with data scientists and analysts, and optimizing data storage and retrieval processes. You will also be responsible for monitoring and troubleshooting data systems.

Benefits include flexible work environments, reduced commuting time, and the ability to work from various locations. There’s generally a good work-life balance, opportunities for continuous learning in cutting-edge technologies, and the chance to work with diverse teams and projects globally.

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