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Remote Cloud Data Engineer Jobs (NOW HIRING)

InstantServe LLC

Azure Data Engineer

$117K - $140K/yr

Remote We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions in Azure. The role involves working with data pipelines, data warehouses, and cloud ...

SysMind Tech

Senior Cloud Data Engineer

Manhattan, NY · On-site +1

$116K - $158K/yr

SysMind is seeking an experienced cloud data engineer to join our team. This position will be ... This role will be remote without any travel required. The ideal candidate will be available during ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

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How much do remote cloud data engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote cloud data engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

How does a Remote Cloud Data Engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

What are the key skills and qualifications needed to thrive as a Remote Cloud Data Engineer, and why are they important?

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

What is a Remote Cloud Data Engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.
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Remote Cloud Data Engineer jobs near you

Lead Data Engineer - Enterprise Cloud & AI Solutions - AIRLHV

NavitasPartners

Aurora, IL • On-site, Remote

$40/hr

Full-time

Posted 23 days ago

Be an early applicant

Job description

Lead Data Engineer – Enterprise Cloud & AI Solutions

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are looking for a Lead Data Engineer to support enterprise-scale cloud data and AI initiatives. This role will focus on delivering high-performance data solutions and enabling AI-driven innovation across business units.

Key Responsibilities:

  • Lead the design and deployment of cloud data platforms
  • Develop scalable data pipelines and optimize performance
  • Collaborate with architects, data scientists, and engineering teams

Required Skills:

  • Strong background in data engineering with tools like Databricks, Snowflake, or BigQuery
  • Experience with cloud ecosystems (AWS, Azure, GCP)
  • Hands-on implementation of large-scale data solutions

Nice to Have:

  • Experience with ML/AI engineering and MLOps pipelines
  • Exposure to GenAI, LLMs, or agent-based AI systems
  • Understanding of AI governance, compliance, and ethical AI practices

For more details reach at resumes@navitassols.com.