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Overnight Cloud Data Engineer Jobs (NOW HIRING)

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 ...

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

$134K - $161K/yr

Cloud Data Engineer This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud ...

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Overnight Cloud Data Engineer information

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

As of Aug 8, 2026, the average hourly pay for overnight 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 the difference between Overnight Cloud Data Engineer vs Cloud Data Engineer?

AspectOvernight Cloud Data EngineerCloud Data Engineer
Work HoursTypically overnight shifts, flexible schedulingStandard business hours or flexible, but not specifically overnight
ResponsibilitiesManaging data pipelines during off-peak hours, ensuring data availability overnightDesigning and maintaining cloud data solutions during regular hours
CertificationsSame as Cloud Data Engineer (e.g., AWS, Azure, GCP certifications)Same as Overnight Cloud Data Engineer
Work EnvironmentData centers, cloud platforms, remote or on-siteCloud platforms, remote or on-site

The main difference is the shift timing: Overnight Cloud Data Engineers work primarily during overnight hours to manage data pipelines, while Cloud Data Engineers typically work during regular hours. Both roles require similar skills, certifications, and work environments, but the overnight schedule allows for maintenance and updates during low-traffic periods.

More about Overnight Cloud Data Engineer jobs
What cities are hiring for Overnight Cloud Data Engineer jobs? Cities with the most Overnight 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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Overnight Cloud Data Engineer jobs near you
Infographic showing various Overnight Cloud Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Cloud Data Engineer

Hewlett Packard Enterprise

San Jose, CA • On-site

$134K - $161K/yr

Full-time

Re-posted 11 days ago

Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 156 rated electronics manufacturers

Job description

Job Summary:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. 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.
Responsibilities:
• Application design and development in streaming or batch mode over Kafka and Spark
• Building RAG pipelines and Agents/Tools
• Evaluate and implement new technologies and tools to improve efficiency and reduce cost
• Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns
• Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product
• Build CI/CD pipelines
• Work with SMEs and data scientists to increase accuracy of actionable insights
Qualifications:
Required:
• Degree in Computer Science, Information Systems, or equivalent
• Master's with 2 years of data engineering experience
• At least 4 years of work experience in relevant technologies
• 2+ years of programming experience in Python
• 1+ years of programming experience in Java
• Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience
• Experience with developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience
• Experience with managing and analyzing large data sets
• Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience
• Experience developing applications in Cloud computing environments with at least 2 years of relevant experience
Preferred:
• Good understanding of WiFi Wireless Networking, Switching and Routing concepts
• Experience in one or more deployment tools such as Airflow or ArgoCD
Company:
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes. Founded in 1939, the company is headquartered in Spring, USA, with a team of 10001+ employees. The company is currently Late Stage.

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