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Cloud Data Engineer Jobs (NOW HIRING)

Empyrean

Cloud Data Engineer

Empyrean is seeking a Cloud Data Engineer to architect, develop, and optimize large-scale, cloud-native data warehousing and ETL pipelines on AWS. The role involves designing data warehouses ...

CGI Inc.

Informatica Cloud Data Engineer

Reston, VA · On-site

$58 - $77.50/hr

Informatica Cloud Data Engineer Category: Infrastructure/Cloud Main location: United States, Virginia, Reston Position ID:J0526-2548 Employment Type: Full Time U.S. - Technology as a force for good ...

Shift4

AWS Cloud Data Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization's data-driven initiatives. We seek ...

NorthShore

Cloud Data Engineer - EDW

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 ...

AA2IT

Be Seen First

Cloud Data Engineer

Columbus, OH · On-site

$60 - $78/hr

The Cloud Data Engineer will be responsible for developing, expanding, and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ...

New

HCLTech

Cloud Data Engineer

El Paso, TX · On-site

$103K - $124K/yr

HCLTech is seeking a Cloud Data Engineer to build and scale data-intensive applications. The role involves designing real-time and batch processing systems, managing diverse database environments ...

New

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113K - $136K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support ...

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

... Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on‑premise systems to a cloud‑native architecture on Google Cloud Platform (GCP) . This is ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support ...

AEG

Cloud Data Engineer

Detroit, MI · On-site

$113K - $135K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support ...

Xoriant Corporation

AWS Cloud Data Engineer

Boston, MA · Hybrid

$60.50 - $81/hr

AWS Cloud Data Engineer Location: Boston, MA (Hybrid Onsite) Industry: Financial Services About the Role We are seeking a highly skilled Cloud Data Engineer to design, build, and optimize a modern ...

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How much do cloud data engineer jobs pay per hour?

As of Jun 5, 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.
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Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in the United States as of May 2026, with employment types broken down into 68% Full Time, 30% Part Time, 1% Contract, and 1% Nights. 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

Empyrean

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Empyrean rating

4.6

Company rating: 4.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

180th of 186 rated software companies

Job description

Job Summary:
Empyrean is seeking a Cloud Data Engineer to architect, develop, and optimize large-scale, cloud-native data warehousing and ETL pipelines on AWS. The role involves designing data warehouses, implementing scalable ingestion and transformation pipelines, and enabling high-quality analytics across the organization.
Responsibilities:
• Design and implement AWS-native ETL/ELT pipelines using services such as:
• AWS Glue
• AWS Lambda
• Amazon MWAA / Apache Airflow
• Step Functions
• S# / Lake Formation
• Architect and maintain data warehouses using Amazon Redshift (or Snowflake/Databricks on AWS).
• Build robust data ingestion patterns including incremental loads, partitioning strategies, and schema evolution handling.
• Ensure pipelines are secure, observable, cost‑efficient, and reliable in production environments.
Qualifications:
Required:
• Strong understanding of data warehousing concepts and best practices
• Expertise in SQL and query optimization for large-scale datasets
• Proficiency in cloud data platforms (AWS preferred) and associated services (Glue, Lambda, Airflow, S3, etc.)
• Strong programming skills (e.g., Python, C#, or similar) for ETL development and automation
• Experience designing and implementing scalable ETL/ELT pipelines
• Knowledge of modern data formats (Parquet, JSON, ORC) and file-based processing
• Experience with data modeling (star/snowflake schemas, fact/dimension design)
• Familiarity with data governance, lineage, and security in cloud environments
• Strong written and verbal communication skills
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment
• 2-4 years of experience in data engineering or data warehousing
• Hands-on experience with cloud data platforms (AWS strongly preferred)
• Experience building and maintaining large-scale data pipelines and warehouses
• Experience working with BI tools such as Tableau, Power BI, Quick Sight or similar
Preferred:
• Experience integrating AI/LLM tools into engineering workflows is a plus
• Bachelor’s degree preferred but not required
• In lieu of a degree, equivalent experience in data engineering, computer science, or related field
• Experience with applied AI in data workflows is a plus
Company:
Established in 2006, Empyrean is a leading technology SaaS company empowering organizations with innovative technology and a service-first approach that accelerates employers’ benefits and employee retention strategies. Founded in 2006, the company is headquartered in Houston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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