Job Title: Data Engineer Employment Type: Contract Duration: 6 months (with potential extensions up to 3 years) Location: Remote (U.S. preferred) Role Overview: We’re hiring 4–6 Data Engineers to support a large-scale data modernization project as part of our solution engineering teams. This role will focus on a secondary initiative: migrating machine learning models and complex ETL pipelines from an Azure-based environment to AWS and Snowflake, enabling enterprise-wide platform standardization. This lift-and-shift effort is part of a broader transformation initiative and requires strong technical hands-on skills and a deep understanding of cloud-based data engineering. Key Responsibilities: • Design, build, and maintain ETL pipelines to support large-scale data migration and integration efforts. • Support the migration of ML models and complex data workflows from Azure to AWS/Snowflake. • Collaborate with cross-functional teams to ensure smooth transitions and minimal downtime during data migrations. • Work with Python and YAML configuration files to define workflows and automate data processing. • Use tools like AWS Glue and dBeaver to transform and access data efficiently. • Create and manage views in Snowflake, ensuring secure and organized data access for analytics teams. • Perform data validation and assist in debugging issues during the transition process. Required Skills & Experience: Technical Proficiency: • Python (strong coding skills for automation and data pipeline development) • YAML (for configuration of data workflows and tool settings) • Snowflake (hands-on experience creating views, managing access, and performing data analysis) • AWS Glue (preferred for ETL orchestration) • Database access tools like dBeaver Platform Knowledge: • Understanding of Snowflake’s architecture, including view creation, access control, and data sharing capabilities. • Familiarity with AWS cloud services, especially for data storage, transformation, and workflow automation. • Background in Azure-to-AWS migration (preferred but not required)