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Cloud Data Engineer Entry Level Jobs (NOW HIRING)

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 ...

Azure Cloud Data Engineer

Weston, VT ยท Remote

$116K - $139K/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 ...

AWS Cloud Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

AWS Cloud Data Engineer Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step ...

Cloud Data Engineer

Dallas, TX ยท On-site

$55.25 - $73/hr

Overview: Omni's Cloud Data Engineer specializing in Microsoft Fabric is responsible for designing, building, and managing end-to-end data pipelines within the unified Microsoft Fabric SaaS ...

Data Engineer - Azure

Weehawken, NJ ยท On-site

$124K - $149K/yr

Cloud Data Engineer/Strong in Azure Location - Weehawken NJ - Hybrid Type: FTE / Direct Hire We are seeking a highly skilled and experienced Cloud Data Engineer to join our team. As a Cloud Data ...

GCP Data Engineer

Jersey City, NJ ยท On-site

$119K - $143K/yr

A deep understanding of cloud services such as Cloud Data Flow, Pub/Sub, and data orchestration ... Apply DevOps principles for continuous integration and deployment (CI/CD) using GitHub and related ...

Cloud Data Engineer | 1058090

Columbus, OH ยท Hybrid

$53.75 - $72/hr

A Cloud Data Engineer is needed for a contract opening in Columbus, Ohio. The role will create, update and manage mapping documentation from legacy system to new system. Conducts code reviews and ...

DATA ENGINEER

Washington, DC ยท On-site

$129K - $155K/yr

Data Engineer Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc ... Exposure to AWS or cloud data platforms * Strong analytical and problem-solving skills Skills SQL ...

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Cloud Data Engineer Entry Level information

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How much do cloud data engineer entry level jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for cloud data engineer entry level 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 does a Cloud Data Engineer Entry Level do?

A Cloud Data Engineer Entry Level is responsible for assisting in the design, development, and management of data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud. They help build and maintain pipelines that move and transform data, ensuring it is accessible and secure for analysis. Entry-level cloud data engineers often work under the supervision of senior engineers, contributing to data integration, storage solutions, and performance optimization tasks while learning industry best practices.

What are the key skills and qualifications needed to thrive as an Entry Level Cloud Data Engineer, and why are they important?

To thrive as an Entry Level Cloud Data Engineer, you need a solid understanding of data structures, basic programming (often in Python or SQL), and foundational knowledge of cloud platforms such as AWS, Azure, or Google Cloud, typically supported by a related degree or certification. Experience with cloud-based data warehousing tools (like Amazon Redshift or BigQuery), ETL processes, and data pipeline orchestration systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve data-related challenges. These skills and qualities are crucial for efficiently building, managing, and optimizing cloud data solutions that support business analytics and decision-making.

What types of projects and tasks can an entry-level Cloud Data Engineer expect to work on during their first year?

As an entry-level Cloud Data Engineer, you can expect to work on foundational tasks such as building and maintaining data pipelines, assisting with cloud platform migrations, and supporting data integration efforts. You'll often collaborate with senior engineers and data analysts to ensure data is properly ingested, transformed, and stored in cloud environments like AWS, Azure, or Google Cloud. Common challenges include learning to troubleshoot data flow issues and adapting to various cloud tools and services. Over time, you'll gain exposure to automation, scripting, and optimizing data workflows, which are essential for career growth in this field.
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What cities are hiring for Cloud Data Engineer Entry Level jobs? Cities with the most Cloud Data Engineer Entry Level job openings:
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What states have the most Cloud Data Engineer Entry Level jobs? States with the most job openings for Cloud Data Engineer Entry Level jobs include:
What job categories do people searching Cloud Data Engineer Entry Level jobs look for? The top searched job categories for Cloud Data Engineer Entry Level jobs are:
Infographic showing various Cloud Data Engineer Entry Level job openings in the United States as of May 2026, with employment types broken down into 58% Full Time, 23% Part Time, and 19% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

$134K - $161K/yr

Full-time

Posted 7 days ago


Job description

Cloud Data EngineerThis 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 company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

Job Family Definition:

Description

As a data engineer, you'll ensure the reliability, performance, and security of applications. You'll collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services. You'll bridge the gap between data engineering and advanced AI-driven applications. You'll work with cutting-edge AI/ML technologies like LLMs, autonomous AI agents, enabling intelligent automation and deep data insights. You'll contribute to product development in programming, data analysis and CI/CD infrastructure

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 otherengineers 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

Education and Experience 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

Knowledge and Skills

  • 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

Additional Desirable Skills

  • Good understanding of WiFi Wireless Networking, Switching and Routing concepts
  • Experience in one or more deployment tools such as Airflow or ArgoCD

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#networking

Job:

Engineering

Job Level:

TCP_03"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 136,500 - 276,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.