Data Engineer

Job Summary

To support and enhance a modern data environment, the fully remote Data Engineer will maintain reliable warehouse operations, expand scalable data pipelines, and improve integration across systems while collaborating closely with technical stakeholders.

Key responsibilities

• Oversee the daily performance and stability of the data warehouse to ensure dependable access to trusted data
• Design, build, and refine data pipelines for efficient information movement and transformation across multiple platforms
• Develop engineering solutions using Python, Spark, and Databricks to support large-scale data processing and analytics workloads

Required qualifications

• Extensive experience in data engineering with strong hands-on use of Python in production environments
• Solid background in SQL and data warehouse support, including writing and optimizing complex queries
• Practical experience with Apache Spark and Azure Databricks for distributed data processing
• Understanding of data modeling concepts and the ability to structure datasets for analytical use
• Familiarity with cloud-based data integration tools, including exposure to Azure Data Factory