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Entry Level Gcp Data Engineer Jobs in Atlanta, GA

Relevant experience in data platform engineering * Handson experience with Google Cloud Platform GCP * Experience with on-premises Cloudera big data clusters * Experience with Apache Iceberg table ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... GCP). This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... GCP). This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... GCP). This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for ...

Google Data Specialist

Atlanta, GA · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

AWS GCP Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Data Engineer) * Cloud Engineering (cloud computing) experience with AWS, GCP, and/or Azure to include load balancing * Hands-on experience with some the following: Docker and Kubernetes, developing ...

Data Engineer (AWS, Azure, GCP)

Atlanta, GA · On-site

$110K - $132K/yr

... Data Engineer - Cloud position include: * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Advising clients on ...

Data Engineer (AWS, Azure, GCP)

Atlanta, GA · On-site

$110K - $132K/yr

... Data Engineer - Cloud position include:  * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Advising clients on ...

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

We are seeking a strategic, cloud-native Data Engineer with deep expertise in Google Cloud Platform (GCP) to lead enterprise-wide data transformation initiatives. This highly visible role blends ...

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Familiarity with major cloud platforms (AWS, GCP, Azure). * DATA ARCHITECTURE: Experience with ... Proficient with programming in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ... Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,) * Any one of the Data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Familiarity with major cloud platforms (AWS, GCP, Azure). * DATA ARCHITECTURE:Experiencewithmodern ... PROGRAMMING:Proficientwithprogrammingin Python, Java, Scala, or similar languages. Expert ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for building ...

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Entry Level Gcp Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do entry level gcp data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level gcp data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What does an entry level GCP data engineer do?

An Entry Level GCP Data Engineer is responsible for building, managing, and optimizing data pipelines on Google Cloud Platform (GCP). Their tasks typically include designing data workflows, developing ETL (Extract, Transform, Load) processes, and ensuring data quality and security. They work with tools like BigQuery, Dataflow, and Cloud Storage to facilitate data movement and analysis. The role often involves collaborating with data scientists, analysts, and other engineers to support business intelligence and analytics initiatives. As an entry-level position, it emphasizes learning cloud technologies and best practices while supporting more senior engineers.

What are the key skills and qualifications needed to thrive as an entry level GCP data engineer?

To thrive as an Entry Level GCP Data Engineer, you need a solid understanding of data structures, SQL, Python or Java programming, and a foundational knowledge of cloud computing principles, often supported by a relevant degree or certification. Familiarity with Google Cloud Platform services like BigQuery, Dataflow, Cloud Storage, and tools such as Terraform or Apache Beam is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and address data challenges efficiently. These skills ensure you can design, build, and maintain scalable data solutions that support organizational goals in a cloud environment.

What are some common challenges faced by entry level GCP data engineers, and how can they overcome them?

Entry-level GCP Data Engineers often encounter challenges such as learning to navigate Google Cloud Platform's suite of data tools, understanding cloud security best practices, and efficiently managing large-scale datasets. Adapting to a fast-paced environment where priorities shift quickly can also be demanding. To overcome these challenges, new engineers should leverage available training resources, seek mentorship from experienced team members, and practice working on small-scale projects before tackling larger ones. Collaboration with data scientists, architects, and other engineers is key to building both technical skills and a strong professional network.

What is the difference between Entry Level Gcp Data Engineer vs Data Analyst?

AspectEntry Level Gcp Data EngineerData Analyst
Required CredentialsGCP certifications, basic SQL, cloud fundamentalsExcel, SQL, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, infrastructure setupData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud adoptionMarketing, business, finance sectors

While both roles involve working with data, Entry Level Gcp Data Engineers focus on building and maintaining cloud-based data pipelines using GCP tools, whereas Data Analysts primarily analyze data to generate insights and reports. The roles share some skills like SQL but differ in technical depth and responsibilities.

Can I get an entry level Gcp data engineer job with no experience?

Entry level GCP Data Engineer roles typically require some foundational knowledge of cloud platforms, data processing, and SQL, but many employers consider candidates with relevant certifications or coursework even without professional experience. Building skills in tools like BigQuery, Cloud Storage, and Dataflow through online courses or projects can improve your chances of securing an entry-level position. Certifications such as the Google Cloud Associate Cloud Engineer can also enhance your qualifications for these roles.

Is an entry level GCP data engineer in demand?

Entry-level GCP data engineers are in high demand due to the increasing adoption of cloud data platforms and the need for data management skills. Proficiency in Google Cloud tools like BigQuery, Dataflow, and Cloud Storage, along with certifications, can improve job prospects in this growing field.

What are the most commonly searched types of Gcp Data Engineer jobs in Atlanta, GA?

The most popular types of Gcp Data Engineer jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Gcp Data Engineer jobs in Atlanta, GA?

For Entry Level Gcp Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Gcp Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Gcp Data Engineer jobs in Atlanta, GA are:

Infographic showing various Entry Level Gcp Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Cloud Data Engineer (GCP BigQuery & Dataflow) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago


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