67 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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6 hours ago
Collective[i]
51 - 200
Join Collective[i] as a Senior Data Engineer, focusing on AWS and data engineering responsibilities. Work with a team pushing the boundaries of AI and data analytics.
6 hours ago
Collective[i]
51 - 200
Join Collective[i] as a Senior Data Engineer, focusing on AWS and data engineering responsibilities. Work with a team pushing the boundaries of AI and data analytics.
Yesterday
Oteemo Inc.
51 - 200
Join Oteemo as a Cloud Engineer, managing Azure infrastructure and optimizing cloud services.
2 days ago
Derex Technologies Inc
51 - 200
Join Derex Technologies as a Cloud Data Engineer. Bring AWS expertise and drive data solutions.
2 days ago
Derex Technologies Inc
51 - 200
Join Derex Technologies as a Cloud Data Engineer. Bring AWS expertise and drive data solutions.
5 days ago
Plain Concepts
201 - 500
Join as a Cloud Engineer to deliver Infrastructure solutions, mainly on Azure, in a DevOps environment.
6 days ago
Skyward Federal
11 - 50
Cloud Engineer driving secure solutions for Skyward Federal's cloud capabilities.
6 days ago
Cloud Engineer to support federal clients in secure cloud solutions.
November 13
Netrix Global
501 - 1000
Cloud Engineer at Netrix Global for AWS cloud services and Kubernetes implementation.
November 10
Webtellect, LLC
11 - 50
Design and enhance AWS data environment for a software consulting firm.
November 10
Webtellect, LLC
11 - 50
Design and enhance AWS data environment for a software consulting firm.
November 10
Shaping Cloud
11 - 50
Cloud engineering role in a digital transformation partner focused on Azure.
November 7
EUROPEAN DYNAMICS
501 - 1000
Cloud Engineer role for a Development team serving a major client remotely.
November 6
Evoqua Water Technologies
1001 - 5000
Cloud Operations Engineer for Q2's online banking platform migration to AWS.
November 4
Texas Research International
51 - 200
Cloud Data Engineer with Microsoft Cloud expertise for data architecture transformation.
November 4
Texas Research International
51 - 200
Cloud Data Engineer with Microsoft Cloud expertise for data architecture transformation.
November 3
Unholster
11 - 50
Ingeniero de la nube para Unholster, enfocado en estrategias DevOps y automatización.
November 1
Federal Trade Commission
1001 - 5000
Cloud Engineer for Clearway Health, managing Microsoft and AWS Cloud environments.
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Top companies hiring remote cloud data engineers
Arkatechture
Data Warehousing • Data Integration • Business Intelligence
51 - 200
💰 Venture Round on 2022-02
Job Openings
Derex Technologies Inc
Infrastructure Support Services • Implementing Big Data and Analytics Solutions • Mobile Application Development
51 - 200
Job Openings
Remote cloud data engineer salary expectations
The average salary for remote cloud data engineers is $121,822 per year. This is based on data from 13 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 cloud data engineer salaries.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟡 Mid-level Cloud Data Engineer (2-4 yrs) | 5 | $122,417 |
🟠 Senior Cloud Data Engineer (5-9 yrs) | 7 | $122,658 |
🔴 Lead Cloud Data Engineer (10+ yrs) | 1 | $113,000 |
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.