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Entry Level Gcp Data Engineer Jobs in Raleigh, NC

... 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 ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... GCP (one or more), including managed data platforms and scalable compute patterns. * 2+ years of ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

... Azure/GCP (one or more), including managed data platforms and scalable compute patterns. * 2 + ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

Data Management Consultant

Cary, NC · On-site

$65K - $100K/yr

This is an entry-level data engineer opportunity for someone with foundational SQL and Python skills who is eager to grow their skillset through a variety of project work. Projects are centered on ...

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Power System Engineer (Entry Level) Launch Your Career in Power Engineering SE Engineering, PC is ... care, data centers, and water/wastewater--this is an excellent opportunity to build your career.

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... Chosen engineers will have the chance to work with some VERY talented GCP engineers and gain ...

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... Chosen engineers will have the chance to work with some VERY talented GCP engineers and gain ...

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... Chosen engineers will have the chance to work with some VERY talented GCP engineers and gain ...

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Entry Level Gcp Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jun 13, 2026, the average yearly pay for entry level gcp data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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 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 are the key skills and qualifications needed to thrive as an Entry Level GCP Data Engineer, and why are they important?

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 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.

What are the most commonly searched types of Gcp Data Engineer jobs in Raleigh, NC? The most popular types of Gcp Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Gcp Data Engineer jobs in Raleigh, NC? For Entry Level Gcp Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

Big Data Engineer (Cloud - Azure & GCP)

Prophecy Technologies

Cary, NC • On-site

$51.75 - $68.25/hr

Full-time

Posted 23 days ago


Job description

Job Summary:
Responsible for designing, building, and optimizing large-scale data pipelines and ETL processes in cloud environments (Azure & GCP). Develop high-performance data ingestion, transformation, and analytics solutions while ensuring data quality, scalability, and reliability. Collaborate with global teams to implement cloud-based data warehouses and analytics platforms.
Key Responsibilities:
  • Build and maintain cloud-based data pipelines using Azure Databricks, Azure Data Factory (ADF), Azure Data Lake, Synapse, BigQuery, and GCP data services.
  • Develop ETL frameworks and reusable solutions to process large volumes of structured and unstructured data.
  • Perform performance tuning on Spark (Scala/Python), Hive, and SQL queries to ensure efficient data processing.
  • Design and implement Star/Snowflake schemas for analytical data warehouses.
  • Ensure data quality, governance, and compliance across cloud environments.
  • Collaborate with global teams to deliver high-quality, production-ready solutions and optimize system performance.
  • Troubleshoot and resolve data processing and pipeline issues.

Required Skills & Experience:
  • Strong expertise in Azure (Databricks, ADF, Data Lake, Synapse) and GCP (BigQuery, Dataproc, Cloud Storage, Cloud Composer).
  • Hands-on experience with Spark (Scala/Python), Hive, SQL, and performance tuning.
  • Solid knowledge of relational data modeling and data warehouse concepts (Star/Snowflake schema).
  • Experience with Kafka or other streaming technologies.
  • Proficiency in Python, Scala, and SQL for data engineering tasks.
  • Strong analytical, problem-solving, and communication skills.

Competencies:
  • Cloud Data Engineering (Azure & GCP)
  • Big Data Processing and Analytics
  • ETL Development and Optimization
  • Data Warehousing & Modeling
  • Performance Tuning & Data Quality

Preferred Skills:
  • Snowflake, MySQL, NoSQL databases
  • Streaming data pipelines and real-time analytics
  • Experience with CI/CD for data pipelines