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Cloud Data Engineer Entry Level Jobs (NOW HIRING)

DATA ENGINEER

Manhattan, NY · On-site

$126K - $151K/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 ...

Essential Functions: • Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools. • Collaborate with technical analysts, business ...

Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools. Collaborate with technical analysts, business analysts, and line of ...

Google Cloud Platform Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite Hybrid 3 days a week in office) Location: Austin, TX Duration: Long Term Contract Expert in SQL and Data warehousing concepts. Hands-on experience ...

Google Cloud Platform Data Engineer

Phoenix, AZ · Hybrid

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location: Phoenix, AZ Duration: Long Term Contract Expert in SQL and Data warehousing concepts. Hands-on experience ...

Cloud Data Platform Engineer

Cupertino, CA · On-site

$68.75 - $92/hr

Cloud Data Platform Engineer Location: SF or Cupertino, California, Dallas Texas, Hopkins, MN, Atlanta GA, Charlotte NC. Duration: 8 Months contract role As an Analytics platform engineer supporting ...

Data Engineer

Washington, DC

$129K - $155K/yr

Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data Engineer will design, build, and maintain data pipelines, develop data processing ... AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ...

Data Engineer

$117K - $140K/yr

The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing ... AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ...

Data Engineer

$117K - $140K/yr

The Data Engineer role involves designing and maintaining scalable data pipelines, integrating ... AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ... open-source data engineering tools such as ElasticSearch and NiFi • Experience with Docker ...

The role We are seeking a Senior Google Cloud Data Engineer with a strong background in data engineering and a hands-on approach to driving projects independently from start to finish. This role ...

GCP Data Engineer

Brooklyn, OH · On-site

$107K - $129K/yr

Role: GCP Data Engineer Location: Brooklyn, OH Fulltime position Onsite position JD: * GCP Data ... Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.).Google Cloud ...

DATA ENGINEER

Georgiana, AL

$88K - $105K/yr

Exposure to cloud platforms * Strong analytical mindset * Good communication skills Skills SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Data Ingestion, Data Transformation ...

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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 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.
Cloud Data Engineer (GCP BigQuery & Dataflow) - Q125

Cloud Data Engineer (GCP BigQuery & Dataflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Cloud Data Engineer (GCP BigQuery & Dataflow)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a talented Cloud Data Engineer to design and manage data pipelines on Google Cloud using BigQuery and Dataflow. This role focuses on building scalable ETL processes to support data analytics and insights for enterprise applications.
Key Responsibilities
  • Design and implement data pipelines on Google Cloud using BigQuery and Dataflow for efficient ETL workflows.
  • Develop and optimize data transformations to load and process data in BigQuery for analytics.
  • Automate data workflows to ensure seamless integration and delivery of data across systems.
  • Collaborate with data analysts to provide clean, reliable data for reporting and visualization.
  • Monitor and tune pipeline performance on GCP to ensure cost efficiency and scalability.
  • Troubleshoot and resolve issues in data pipelines to maintain data integrity and availability.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on Google Cloud (GCP) technologies.
  • Proficiency in building ETL pipelines using BigQuery and Dataflow for large-scale data processing.
  • Experience with pipeline automation and optimization on GCP for analytics workloads.
  • Strong understanding of cloud-based data engineering and distributed data systems.

Preferred Qualifications
  • Familiarity with other GCP services like Pub/Sub or Cloud Storage for data integration.
  • Exposure to advanced BigQuery features like partitioning or clustering for performance optimization.
  • Knowledge of orchestration tools like Apache Airflow for managing GCP data workflows.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, GCP, Google Cloud, BigQuery, Dataflow, ETL, Pipeline