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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

Cloud Data Engineer The Location: 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 Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud Data ...

Cloud Data Engineer

Skokie, IL ยท On-site

$41.64 - $64.54/hr

Cloud Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud Data ...

AWS Cloud Data Engineer

San Francisco, CA ยท On-site

$65.75 - $87.75/hr

AWS Cloud Data Engineer Duration: 18 Months Location: San Francisco, CA Note: No C2C allowed in this role. We are seeking an experienced Lead Cloud Data Engineer to design and modernize enterprise ...

Cloud Data Engineer

Falls Church, VA ยท On-site

$112K - $196K/yr

Parsons is looking for a hands-on Cloud Data Engineer to join our team supporting mission-critical cloud, data, and AI-enabling technology initiatives. This position is open to candidates at multiple ...

New

Cloud Data Engineer II

Miami Lakes, FL ยท On-site

$50.50 - $67.50/hr

The Cloud Data Engineer II will play a pivotal role in managing and optimizing cloud infrastructure and services. This position is responsible for implementing and maintaining cloud-based solutions ...

Cloud Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

AmTrust is seeking a highly motivated and accomplished Cloud Data Engineer with expertise in Azure Databricks, Azure Synapse Analytics, SQL, and cloud-based data platforms. The ideal candidate will ...

New

Cloud Data Engineer

Woonsocket, RI ยท On-site +1

$53.50 - $71.50/hr

Cloud Data Engineer Work Location: 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 ...

Senior Cloud Data Engineer

Huntsville, AL ยท On-site

$58 - $77.50/hr

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the world's toughest challenges with a servant's heart.

Senior Cloud Data Engineer

Huntsville, AL ยท On-site

$58 - $77.50/hr

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the world's toughest challenges with a servant's heart.

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the worlds toughest challenges with a servants heart.

They are seeking a Cloud Data Engineer to design and develop data pipelines, cloud data architecture, and data warehousing solutions, while ensuring effective communication with stakeholders.

Cloud Data Engineer

Fort Worth, TX

$50 - $67/hr

The cloud data engineer is responsible for data engineering and analysis support to the contract management and tax applications. This position requires a proactive mindset, strong technical ...

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Cloud Data Engineer information

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How much do cloud data engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for 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 cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.

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

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and storage solutions in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data security, and optimize data workflows to support analytics and business intelligence. Proficiency in programming, database management, and cloud services is essential for this role.
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Cities with the most 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 Cloud Data Engineer jobs?

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

Infographic showing various Cloud Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% 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 29 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