Job Title: Lead Data Engineer Company Name: Wize Solutions LLC Job Url: https://www.simplyhired.com/job/nLL0CDxgXEzL9eMP8kkbsNviHgQqYznvtblKBUqsjfRJ0W4LzGOrQw Job Description: Data Engineer Wize Solutions LLC Remote Job Details Full-time $100,000 - $140,000 a year 4 hours ago Benefits Health savings account Health insurance Dental insurance 401(k) Flexible spending account Paid time off Vision insurance 401(k) matching Opportunities for advancement Life insurance Qualifications Data engineering Data model design Performance tuning Power BI 7 years Data visualization software proficiency Data Integration (Data management) Azure FedRAMP Data lake Cloud data warehouses Process optimization Scalable systems SQL Data quality management Technical solutions implementation Data Architecture Design (Architecture design skills) Solution architecture design Continuous improvement Improving database performance Mentoring Cloud Native Design Talend Scalability Metadata Business requirements Real-time data processing implementation Senior level Data engineering experience (6–10 years) Data warehouse Metadata management Dimensional modeling Analytics Full Job Description Lead Data Engineer Company: Wize Solutions Job Type: Full-Time Location: Onsite/Remote / Hybrid Clearance: Must be able to pass a U.S. government background investigation Overview Wize Solutions is seeking a Lead Data Engineer to take ownership of modern data platform design and delivery across Azure and Microsoft Fabric environments. As a core member of our Data Engineering team, you will design, build, and scale enterprise data solutions that unify Azure SQL, Microsoft Fabric, Dataverse, and Data Lake architectures into a streamlined, analytics-ready ecosystem. You will work with leadership, architects, and business stakeholders to define data strategy, drive execution, and deliver high-impact outcomes. This is a hands-on role focused on building, modernizing, and optimizing data platforms, not maintaining legacy systems. Qualifications Strong understanding of data warehousing concepts including dimensional modeling, ETL, and analytics design Minimum 7 years of experience in data engineering, ETL development, or data architecture Strong hands-on experience with Microsoft Fabric including Lakehouse, Warehouse, Dataflows, and OneLake Deep experience with Azure SQL and modern cloud-based data architectures Experience working with Microsoft Dataverse including data integration and schema design Strong experience building and optimizing Power BI datasets and semantic models Advanced SQL skills including performance tuning, indexing, and complex query optimization Experience designing scalable data pipelines and transformation frameworks Experience modernizing legacy ETL solutions into cloud-native or Fabric-first architectures Familiarity with data governance, lineage, and data quality practices Experience with real-time or near real-time data processing is a plus Exposure to ATO, FedRAMP, or other regulated environments is a plus Responsibilities Lead the design, development, and optimization of data platforms using Microsoft Fabric, Azure SQL, Dataverse, and Data Lake Architect and implement scalable data pipelines that support enterprise reporting and analytics Build and maintain high-performance, analytics-ready datasets for Power BI and downstream systems Streamline and modernize data flows to improve performance, reduce latency, and support near real-time insights Establish and enforce data engineering standards, governance practices, and best practices Translate business requirements into scalable, maintainable data solutions Partner with stakeholders to define data strategy, reporting needs, and platform evolution Implement performance tuning strategies including indexing, partitioning, and model optimization Define and manage metadata, data lineage, and transformation logic across data pipelines Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers Mentor team members and provide technical leadership across data initiatives Contribute to continuous improvement of data engineering processes, tooling, and platform capabilities Benefits Competitive salary with performance-based incentives Comprehensive benefits including health, dental, and retirement plans Opportunities for professional growth and career advancement Collaborative, forward-thinking work environment Strong team culture with meaningful project work Job Type: Full-time Pay: $100,000.00 - $140,000.00 per year Benefits: 401(k) 401(k) matching Dental insurance Flexible spending account Health insurance Health savings account Life insurance Paid time off Vision insurance Experience: Data warehouse: 5 years (Required) Talend ETL: 5 years (Required) Data lake: 2 years (Preferred) Dataverse: 2 years (Preferred) Azure SQL: 2 years (Required) ETL Development: 2 years (Required) Work Location: Remote