SQL Developer

Role Name: Data Engineer Location: Redmond, WA (Remote – PST hrs) Duration: 12 month We are seeking a skilled Data Engineer with strong hands-on experience in database development and big data processing. The ideal candidate will have expertise in writing complex SQL queries, optimizing database performance, and working with PySpark-based data processing frameworks. The role requires strong reverse engineering skills to understand, enhance, and modernize existing data pipelines and database structures. Key Responsibilities: • Design, develop, and maintain complex SQL queries, stored procedures, functions, triggers, and SQL jobs. • Perform database indexing, query tuning, and performance optimization to ensure high system efficiency. • Develop and manage scalable data pipelines using PySpark. • Work with cloud-based data platforms such as Azure Synapse Analytics, Microsoft Fabric, or Databricks. • Reverse engineer legacy databases, ETL processes, and existing code to improve performance and scalability. • Analyze and optimize data models, schemas, and transformations. • Collaborate with cross-functional teams including Data Analysts, Architects, and Business stakeholders. • Ensure data quality, integrity, and governance standards are maintained. • Support production deployments and troubleshoot data-related issues. Required Qualifications: • Bachelor’s degree in Computer Science, Information Systems, or related field. • 5+ years of experience in database development and data engineering. • Strong hands-on experience with SQL (complex queries, stored procedures, triggers, indexing, performance tuning). • Solid experience with PySpark for large-scale data processing. • Strong understanding of data modeling and ETL processes. • Experience with Azure Synapse, Microsoft Fabric, or Databricks. • Strong reverse engineering and analytical skills.