Data Engineer

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: $95,000.00 - $115,000.00 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: Hybrid remote in Abingdon, VA 24210