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# Cloud Computing / Data Engineer

- **Company:** NET2ASPIRE LLC
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Clean Code Principles, Java (Programming Language), Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Microsoft Basic Data Partition, BigQuery, Unix, Cloud Computing, Cloud Database, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Structures, Data Systems, Data Warehousing, Relational Databases, Database Queries, Software Debugging, Linux, DevOps, Data Flow Control, Python (Programming Language), Cloud Services, Data Processing, Google Cloud, Cloud Platform System, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Information Technology, Data Analytics, Azure Synapse Analytics, Data Pipelines, Docker, Programming Languages
- **Published:** September 28, 2026
- **Apply:** https://www.dice.com/job-detail/635d5999-de6f-4a20-af8d-dedc342aa892

## About the Role

We are seeking a motivated and detail-oriented Entry-Level Cloud Computing / Data Engineer to join our technology team. The ideal candidate will assist with developing data pipelines, managing cloud-based data solutions, processing datasets, and supporting cloud infrastructure and data engineering projects.

This is an entry-level position and does not require senior-level experience. Candidates with 0-2 years of experience, entry level candidates, internships, academic projects, bootcamp training, or personal cloud/data engineering projects are encouraged to apply.

The ideal candidate should have strong technical fundamentals, a willingness to learn, and an interest in building a career in Cloud Computing and Data Engineering, * Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Cloud Computing, or a related field.

 * Basic knowledge of SQL and relational databases.
 * Programming experience with Python, Java, or a similar language.
 * Understanding of ETL/ELT and data pipeline concepts.
 * Basic understanding of cloud computing concepts.
 * Familiarity with at least one cloud platform: AWS, Azure, or Google Cloud Platform.
 * Understanding of databases, data structures, and data processing concepts.
 * Familiarity with Git/GitHub.
 * Strong analytical and problem-solving skills.
 * Good communication and teamwork skills.

Preferred Skills

 * Exposure to AWS S3, Lambda, Glue, Redshift, or EMR.
 * Exposure to Azure Data Factory, Azure Storage, or Azure Synapse.
 * Familiarity with Google Cloud Storage, BigQuery, or Dataflow.
 * Basic knowledge of Apache Spark or PySpark.
 * Familiarity with data warehouses and data lakes.
 * Basic understanding of Docker and CI/CD.
 * Exposure to Airflow or other workflow orchestration tools.
 * Knowledge of Linux/Unix fundamentals.

## Description

* Assist in developing and maintaining data pipelines and ETL/ELT processes.
 * Collect, process, transform, and validate data from various sources.
 * Write and optimize basic SQL queries for data extraction and analysis.
 * Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
 * Assist with cloud-based data storage and processing solutions.
 * Develop basic data workflows using Python or other programming languages.
 * Monitor data pipelines and troubleshoot data-processing issues.
 * Assist with database and data warehouse development.
 * Support data integration between applications, databases, and cloud services.
 * Participate in testing, debugging, and deployment of data solutions.
 * Maintain technical documentation for data pipelines and cloud environments.
 * Collaborate with software engineers, data analysts, DevOps engineers, and other technical teams.
 * Follow security, data-quality, and development best practices.