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Cloud Data Engineer Jobs (NOW HIRING)

Noblesoft Technologies

Cloud Data Engineer

Minneapolis, MN · 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 ...

TEXAS RESEARCH INTERNATIONAL INC

Cloud Data Engineer

Austin, TX · 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 ...

Endeavor Health

Cloud Data Engineer

Skokie, IL

$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 ...

NorthShore

Cloud Data Engineer

Skokie, IL · 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 ...

BankUnited

Cloud Data Engineer II

Miami Lakes, FL · 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 ...

Navtech, Inc.

Cloud Data Engineer

Woonsocket, RI · 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 ...

Trideum

Senior Cloud Data Engineer

Redstone Arsenal, AL

$57 - $76/hr

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.

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · 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.

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

The Cloud Data Engineer will ensure the reliability, performance, and security of applications while collaborating with data scientists to design, build, and maintain data pipelines and services.

CSpring

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

M&T Bank

Senior Cloud Data Engineer

Buffalo, NY · On-site

$102K - $139K/yr

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

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Cloud Data Engineer information

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How much do cloud data engineer jobs pay per hour?

As of Jul 27, 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 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 are the key skills and qualifications needed to thrive as a Cloud Data Engineer, and why are they important?

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 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.
More about Cloud Data Engineer jobs
What cities are hiring for Cloud Data Engineer jobs? 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:
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Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
Cloud Data Engineer

Cloud Data Engineer

Noblesoft Technologies

Minneapolis, MN • Remote

$57 - $76.25/hr

Contractor

Posted 9 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