Cloud Data Engineer

Job Title: Cloud Data Engineer Contract Duration: 10 months Location: 100% Remote (must be available to work Central Standard Time – CST hours) Job Description: We are seeking a highly experienced and technical Senior Data Engineer to lead the end-to-end lifecycle of our data ecosystems. This role focuses on sophisticated scripting, robust data modeling, and performance optimization across a modern data stack. The ideal candidate is a problem-solver who can extract data from complex source systems and transform it into actionable intelligence through high-performance stored procedures and optimized data loads. Key Responsibilities: • Data Extraction & Engineering: Build and maintain scalable data pipelines to extract data from various source systems, ensuring integrity and efficiency. • Modeling & Analysis: Design, develop, and tune complex data models to support business intelligence and analytical needs. • Performance Optimization: Expertly manage stored procedures and data loads, identifying bottlenecks and implementing performance-tuning strategies to ensure low latency. • Application Development: Utilize Python and Streamlit to build interactive data tools and internal applications. Technical Requirements: Must-Haves: • Education: Bachelor’s degree in any major. • Experience: Minimum of 10 years of professional experience in data engineering, database administration, or a related field. • Core Technical Stack: Advanced proficiency in: • Languages: SQL and Python. • Platforms: Snowflake and Databricks. • ERP Systems: S/4HANA and SAP. • Visualization/Apps: Streamlit. Nice-to-Haves: • Experience with Infrastructure as Code (IaC) using Terraform. • Experience with data transformation workflows using dbt.