Senior/Middle Data Engineer (AWS, Snowflake)

About the Project

We are working on a large international U.S.-based project and are looking for a Data Engineer to strengthen our team. You will be responsible for backend processes, ensuring that applications like Zoom, Webex, and other tools run smoothly in the background.

This role offers a great opportunity to gain hands-on international experience, collaborate with a distributed team, and work with modern technologies in real business scenarios.

Responsibilities

• Support and enhance backend data processes for stable and efficient operations

• Develop and optimize ETL pipelines for large-scale data workflows

• Write complex SQL queries and deliver accurate reports

• Develop Python scripts for automation, data extraction, transformation, and cleaning

• Work with AWS services (e.g., S3, Redshift, Lambda) to manage and process data

• Build and maintain data models in Snowflake for advanced analytics and reporting

• Implement and schedule workflows using Apache Airflow

• Collaborate with international teammates to support and improve existing infrastructure

Requirements

• 3–6 years of experience as a Data Engineer or in a similar role

• Strong skills in SQL, Python, and ETL development

• Hands-on experience with AWS cloud services

• Knowledge of Airflow for orchestration and scheduling

• Experience with Snowflake (data warehousing)

• English level: B2 or higher

• Strong attention to detail and ability to work independently

We offer

• Remote work with a flexible schedule
• International experience in a U.S. project
• Competitive pay: 600–800 USD per task/project
• Work with a modern stack (Azure, Databricks, Spark)
• Supportive team and opportunities for professional growth
  
  📩 If you want to boost your expertise and gain international project experience, apply now—we’d love to meet you!