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
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Support and enhance backend data processes for stable and efficient operations
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Develop and optimize ETL pipelines for large-scale data workflows
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Write complex SQL queries and deliver accurate reports
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Develop Python scripts for automation, data extraction, transformation, and cleaning
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Work with AWS services (e.g., S3, Redshift, Lambda) to manage and process data
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Build and maintain data models in Snowflake for advanced analytics and reporting
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Implement and schedule workflows using Apache Airflow
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Collaborate with international teammates to support and improve existing infrastructure
Requirements
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3–6 years of experience as a Data Engineer or in a similar role
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Strong skills in SQL, Python, and ETL development
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Hands-on experience with AWS cloud services
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Knowledge of Airflow for orchestration and scheduling
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Experience with Snowflake (data warehousing)
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English level: B2 or higher
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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!