Senior Data Engineer

• Develop and maintain scalable data models and database designs to support business needs
• Implement and manage data integration workflows using ETL processes and tools
• Build and optimize data lakes and LakeHouse architectures on Azure platforms
• Utilize Microsoft Fabric and Azure Databricks to create advanced data solutions
• Design and develop dashboards and reports using Power BI to provide actionable insights
• Ensure data governance by establishing policies, procedures, and standards for data use
• Collaborate with cross-functional teams to align data strategies with organizational goals
• Leverage Python and SQL for data analysis, transformation, and automation
• Work with middleware solutions like MuleSoft for efficient data communication and integration
• Stay updated on emerging technologies to continuously improve data engineering practices

• Minimum of 8 years of experience in data engineering, including expertise in Microsoft Fabric and LakeHouse architectures
• Proficiency in data modeling, database design, and data integration tools
• Strong knowledge of Python and SQL for data processing and analytics
• Experience working with cloud platforms, particularly Microsoft Azure
• Hands-on experience with Power BI for data visualization (minimum 3 years)
• Familiarity with ETL processes and tools, including SSIS
• Knowledge of data governance principles and best practices

Experience with MuleSoft or similar middleware platforms is a plus

• medical, vision, dental, and life and disability insurance
• eligible to enroll in our company 401(k) plan