Data Engineer

Job Summary

To support advanced analytics and enterprise data processing, the full-time remote Data Engineer will design, develop, and maintain scalable data platforms and pipelines, collaborating with cross-functional teams to deliver high-quality data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data processing frameworks
• Build and support big data solutions using Python, PySpark, Spark SQL, and SQL on platforms like Databricks
• Implement CI/CD pipelines for automated build, testing, deployment, and monitoring

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience)
• 3-5 years of experience in Data Engineering or a related role
• Strong experience with ETL pipelines and data warehouse solutions
• Experience with distributed data processing and cloud analytics platforms
• Experience working with AWS and Azure cloud platforms