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Cloud Data Engineer Entry Level Jobs in Raleigh, NC

Data Engineer

Raleigh, NC

$111.30K - $133.70K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

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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.

Data Engineer

Cary, NC · On-site

$106.10K - $127.40K/yr

... engineering, cloud platforms, and distributed systems. Your Key Responsibilities ... Design, build, and maintain scalable data pipelines and workflows in a cloud environment * Deliver ...

Data Engineer

Cary, NC

$106.10K - $127.40K/yr

... engineering, cloud platforms, and distributed systems. Your Key Responsibilities ... Design, build, and maintain scalable data pipelines and workflows in a cloud environment * Deliver ...

Data Engineer

Durham, NC · On-site +1

$60 - $65/hr

You will collaborate in an Agile team to modernize on-premises pipelines into cloud-native ... Proficiency in Python for data engineering and ETL development. * Strong SQL skills for data ...

Data Engineer

Durham, NC · On-site +1

$60 - $65/hr

Support DevOps practices for CI/CD and containerized deployments where applicable. Experience ... Hands‑on experience building data applications in a major cloud platform, preferably AWS.

... Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

PCA Data Engineer

Raleigh, NC · On-site

$111.30K - $133.70K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST)

PCA Data Engineer

Raleigh, NC

$111.30K - $133.70K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST)

Data Engineer - Senior

Raleigh, NC

$103K - $140K/yr

Demonstrated mid-level+ experience in data engineering, with a emphasis on data quality assurance ... Understanding of fundamental public-cloud capabilities. Proven capacity to comprehend business ...

Cloud Security Engineer

Durham, NC · On-site

$136.40K/yr

You will focus on engineering guardrails, automation, and data-driven capabilities that help identify and reduce risk across multi-cloud environments. You will work across cloud platforms and ...

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Cloud Data Engineer Entry Level information

See Raleigh, NC salary details

$22

$61

$84

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

As of May 31, 2026, the average hourly pay for cloud data engineer entry level in Raleigh, NC is $61.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $69.62 per hour, depending on experience, location, and employer.

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.

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 most commonly searched types of Cloud Data Engineer jobs in Raleigh, NC? The most popular types of Cloud Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Cloud Data Engineer Entry Level jobs in Raleigh, NC? For Cloud Data Engineer Entry Level jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Cloud Data Engineer Entry Level jobs in Raleigh, NC look for? The top searched job categories for Cloud Data Engineer Entry Level jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Cloud Data Engineer Entry Level jobs? Cities near Raleigh, NC with the most Cloud Data Engineer Entry Level job openings:

Big Data Engineer (Cloud - Azure & GCP)

Prophecy Technologies

Cary, NC • On-site

$51.75 - $68.25/hr

Full-time

Posted 10 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