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Remote Cloud Data Engineer Jobs (NOW HIRING)

Cloud Data Engineer

Minneapolis, MN ยท Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ years of experience as a Cloud Data Engineer. * * Hands-on experience with Azure Cloud data tools (ADF ...

Cloud Data Engineer

Austin, TX ยท Remote

$55.25 - $73.75/hr

Open for Remote We are aggressively hiring Cloud Data Engineers with excellent background in Data Engineering and architecture. We need someone with strong Microsoft Cloud experience, including Azure ...

Cloud Data Engineer

Woonsocket, RI ยท On-site +1

$53.50 - $71.50/hr

Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 years * 3+ years experience building and supporting large-scale, business-critical systems on Public Cloud (Azure/AWS/Google Cloud ...

GovCIO is seeking an experienced Cloud Data Engineer to support the Department of Veterans Affairs ... This position is fully remote, located in the United States. Responsibilities * Create cloud ...

Azure Cloud Data Engineer

Weston, FL ยท Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a ...

Cloud Data Engineer

$53K - $115K/yr

  • Medical

  • Retirement

  • PTO

The Cloud Data Engineer role at Stride develops and maintains robust and scalable integrations and ... This role will be part of a collaborative remote team working closely with other engineers ...

Senior Cloud Data Engineer

Buffalo, NY ยท On-site +1

$102K - $139K/yr

The Senior Principal Cloud Data Engineer is a seniorlevel individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This ...

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term contract Job Summary: We're looking for a dynamic data engineer with Apache Spark and AWS experience ...

GovCIO is seeking an experienced Senior Cloud Data Engineer to support the Department of Veterans ... This position is fully remote, located in the United States. Responsibilities * Create cloud ...

AWS Cloud Data Engineer

Mclean, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer

Mclean, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer

Mclean, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer

Mclean, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer

Mclean, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

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Remote Cloud Data Engineer information

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

As of Aug 20, 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.

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.

What are the key skills and qualifications needed to thrive as a remote cloud data engineer?

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.

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.
More about Remote Cloud Data Engineer jobs

What cities are hiring for Remote Cloud Data Engineer jobs?

Cities with the most Remote Cloud Data Engineer job openings:

What are the most commonly searched types of Cloud Data Engineer jobs?

The most popular types of Cloud Data Engineer jobs are:

What states have the most Remote Cloud Data Engineer jobs?

States with the most job openings for Remote Cloud Data Engineer jobs include:

Infographic showing various Remote Cloud Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Cloud Data Engineer

Noblesoft Technologies

Minneapolis, MN โ€ข Remote

$57 - $76.25/hr

Contractor

Re-posted 2 days ago


Job description

Job Role -  Cloud Data Engineer
Location -  Minneapolis, MN(Remote)
Job Details: 
  •    Minimum of 5+ years of experience as a Cloud Data Engineer.
  •  
  •    Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS   Gen2, Blob Storage) and Snowflake.
  •  
  •    Strong experience in ETL development using SQLServer, SSIS, and T-SQL.
  •  
  •    Experience with Python or other scripting languages for data processing.
  •  
  •    Proficiency in DevOps and CI/CD practices using GitActions.
  •  
  •    Experience with Agile methodologies.
  •  
  •    Excellent problem-solving skills and ability to work independently.
  •  
  •    Strong communication and collaboration skills.
  •  
  •    Strong analytical skills and attention to detail.
  •  
  •    Ability to adapt to new technologies and learn quickly.
  •  
  •    Proven experience in data validation and quality assurance, particularly in   data migration projects, using Python and SQL. Experience in standard Unit   Testing and documenting the results.
  •  
  •    Strong attention to detail and ability to identify data inconsistencies