Senior Data Engineer Location: Remote Opportunity Employment Type: W2 Hourly (No C2C or third-party vendors) About MSR Technology Group At MSR Technology Group, we specialize in cutting-edge system integration and data-driven solutions for private and government sector clients. Our team works on high-impact projects that shape industries, improve efficiency, and drive innovation. We believe in empowering our employees by providing challenging, rewarding opportunities in data analytics, business intelligence, and digital transformation. If you're looking for a collaborative environment where your expertise can make a difference, MSR Technology Group is the place to grow your career. Primary Responsibilities: • Analyze, review, and forecast complex data trends, ensuring accuracy and actionable insights. • Develop and implement strategic business solutions through data-driven research and process analysis. • Support short- and long-term operational strategies through data analytics and visualization. • Design and execute SQL queries for data analysis, validation, and reporting. • Facilitate project requirements meetings with stakeholders, vendors, and technical teams. • Create and maintain business specifications, test plans, work breakdown structures, and traceability matrices. • Manage status updates, action items, risk/issues logs, and defect tracking. • Support Data Warehouse operations, including ETL processes and cloud-based data management. • Identify process gaps and recommend automation or AI-driven solutions to improve efficiency. • Present data-driven insights and solutions effectively to project teams and clients. Required Qualifications: • Bachelor’s degree in Business, IT, Data Analytics, or related field. • 5+ years of experience in IT business analysis and/or data analytics, including requirements gathering and data modeling. • 3+ years of experience developing SQL queries for data extraction and transformation. • Experience with cloud-based databases (e.g., Snowflake, AWS Redshift, Google BigQuery). • Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker). • Strong understanding of Agile methodologies and preferred experience using JIRA, Confluence, or Azure DevOps. • Excellent communication and stakeholder management skills. • Experience mentoring junior analysts and leading cross-functional teams. Preferred Qualifications: • Healthcare domain experience, particularly in Medicaid/Medicare analytics. • ETL / Data Warehousing background, including modern cloud-based solutions. • Experience with AI/ML-driven analytics for predictive modeling. • Knowledge of Python or R for advanced data analysis. • Familiarity with API integrations for data exchange. • Experience with SharePoint, MS Project, and workflow automation tools.