ZipRecruiter

Log In

2

Cloud Data Engineer Entry Level Jobs (NOW HIRING)

Hewlett Packard Enterprise

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102K - $122K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Juan, PR · Hybrid

$112K - $134K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

HPE

Cloud Data Engineer

San Jose, CA · On-site

$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 ...

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 ...

SynergisticIT

Cloud Data Engineer

Dania Beach, FL · On-site

$104K - $125K/yr

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

next page

Showing results 1-20

All JobsCloud Data Engineer Entry Level Jobs

Cloud Data Engineer Entry Level information

See salary details

$23

$62

$87

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

As of Jun 27, 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.
More about Cloud Data Engineer Entry Level jobs
What cities are hiring for Cloud Data Engineer Entry Level jobs? Cities with the most Cloud Data Engineer Entry Level 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 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:
Cloud Data Engineer Entry Level jobs near you
Infographic showing various Cloud Data Engineer Entry Level job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 2% 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 - Clearance Required

Cloud Data Engineer - Clearance Required

Phoenix Operations Group

Bethesda, MD • On-site

$64.25 - $83.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Phoenix Ops Group is seeking qualified candidates for mission-oriented cloud, data, and AI-enabling technology work. Multiple levels may be considered based on experience, including mid-level and senior candidates. We are seeking a hands-on Cloud Data Engineer to support cloud-based data pipelines, APIs, data services, and modern data platforms.
This role is focused on helping integrate data sources, services, pipelines, and applications into secure, operational cloud environments that support advanced analytics, automation, and AI-enabled mission capabilities. Candidates should be comfortable working across data engineering, ETL, API integration, software development, distributed services, and cloud-based platform teams.
Experience with AWS and Databricks is highly desired.
Responsibilities
  • Design, develop, test, and support cloud-based data engineering capabilities.
  • Build, maintain, and troubleshoot ETL pipelines and data workflows.
  • Integrate data sources, APIs, applications, distributed services, and cloud services.
  • Develop and support data processing pipelines, database applications, and data services.
  • Support data movement, transformation, validation, testing, and operational readiness activities.
  • Develop or integrate RESTful APIs, services, and data-driven applications where needed.
  • Work with cloud platform, software engineering, and DevSecOps teams to support deployment of integrated capabilities.
  • Use Git-based source control and CI/CD practices, including tools such as GitLab CI/CD, Jenkins, GitHub Actions, or comparable platforms.
  • Participate in Agile development activities, code reviews, testing, debugging, and technical documentation.
  • Assist with deployment, configuration, maintenance, and troubleshooting in Linux and cloud-based environments.
  • Document data flows, interfaces, system dependencies, code comments, integration approaches, and technical decisions.
  • Collaborate with mission, engineering, data, security, technical, and user stakeholders to support practical implementation needs.
  • Apply secure coding, automated testing, and engineering best practices throughout the development lifecycle.
  • Support secure software and data practices, including safeguarding sensitive, proprietary, CUI, or classified information where applicable.
  • Operate effectively in secure, government, defense, or mission-oriented environments.

Required Qualifications
  • Hands-on experience in data engineering, data integration, cloud data development, or software engineering.
  • Experience developing ETL pipelines, data workflows, or data processing capabilities.
  • Experience integrating APIs, applications, services, databases, or data sources.
  • Experience developing software in modern languages such as Python, Java, or JavaScript/TypeScript.
  • Familiarity with RESTful APIs, distributed applications, or cloud-based software environments.
  • Familiarity with cloud-based data platforms and cloud-native services.
  • Experience developing, testing, or troubleshooting in Linux-based development or operational environments.
  • Familiarity with Git-based source code management and collaboration tools.
  • Familiarity with Agile development, code reviews, testing, debugging, and collaborative engineering practices.
  • Familiarity with secure coding, automated testing, and software engineering best practices.
  • Ability to troubleshoot data pipeline, data integration, API, database, software, and interface issues.
  • Strong analytical, problem-solving, verbal, and written communication skills.
  • Ability to work collaboratively within engineering teams and adapt to evolving technical requirements.
  • Ability to support secure or mission-oriented environments.

Desired Qualifications
  • Experience with AWS cloud services.
  • Experience with Databricks or comparable cloud data platforms.
  • Experience with Python, SQL, Spark, Java, or similar data engineering technologies.
  • Experience with GitLab, GitLab CI/CD, Jenkins, GitHub Actions, or comparable development and CI/CD platforms.
  • Experience working with relational and/or NoSQL databases.
  • Experience with unit testing or automated testing frameworks.
  • Experience with data modeling, large-scale data processing, event-driven architectures, or streaming data technologies.
  • Familiarity with containerization or deployment technologies such as Docker or Kubernetes.
  • Familiarity with DevOps or DevSecOps practices.
  • Experience evaluating software dependencies, licensing considerations, or supply chain security risks.
  • Experience supporting federal, defense, intelligence, scientific, or other mission-oriented environments.
  • AWS certifications such as Developer, Solutions Architect, Data Engineer, or DevOps Engineer are a plus.
  • Active or eligible security clearance preferred, if applicable.

Candidate Profile
The ideal candidate is a practical, hands-on engineer who can connect data, APIs, services, databases, software applications, and cloud platforms into working mission capabilities. This role is not intended as a traditional systems engineering or architecture role; the emphasis is on implementation, integration, testing, secure development, and operational usefulness.
Benefits Offered:
Medical, Dental, Vision Insurance - 100% Company Paid Premiums STD, LTD, and Life Insurance - 100% Company paid 401K - Automatic 10% company contribution; no matching required PTO - 4 weeks/year Holidays - 11 paid/year Birthdays off with pay Referral Bonuses - Upfront AND Annually Recurring Open Source Bonuses - Contribute to our Github projects Professional Development - Paid training, Certifications, and Enrichment
ABOUT PHOENIX OPERATIONS GROUP:
Phoenix Operations Group is a high-end engineering services company dedicated to protecting and advancing our national cyber resources. As a small company, we rely on innovation to continually advance our employees' skills and provide game-changing solutions to our customers.
Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We support operational missions (All-Source, Financial, CND) and serve as Product Owners for our open-source research initiatives.
Please visit us at http://www.phoenix-opsgroup.com for more information.
Phoenix Operations Group is an Equal Opportunity Employer. Phoenix Operations Group does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

Apply