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# Junior Data Engineer

- **Company:** Artefact
- **Location:** United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Data Governance, Data Retrieval, Data Systems, Python (Programming Language), Cloud Services, SQL Databases, Data Processing, Azure Data Factory, Snowflake, Pyspark, Information Technology, AWS Glue, Data Pipelines, Databricks
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/34c0c3f5-624d-4546-967d-67f3b8e7b636

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
 * 2+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
 * Experience with cloud services such as Azure Data Factory and AWS Glue.
 * Excellent problem-solving skills and the ability to work under tight deadlines.
 * Strong communication and interpersonal skills.

Preferred Qualifications:
*

 + Certifications in Azure, AWS, or similar technologies.
 + Certifications in Databricks, Snowflake or similar technologies
 + Experience in the leading large scale data engineering projects

## Description

We are looking for a Jr. Data Engineer to join our dynamic team. This role is ideal for someone with understanding of data engineering and a proven track record of working on data projects in a fast-paced environment., * Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.

 * Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
 * Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
 * Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
 * Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
 * Develop and enforce best practices in data governance, security, and compliance within the organization.
 * Optimize data retrieval and develop dashboards and reports for business teams.
 * Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.


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