Data Engineer

The Data Engineer is responsible for shaping our clients enterprise data strategy and architecture while also contributing hands-on expertise in building and maintaining modern data solutions (pipelines, databases, warehouses, lakehouses, etc). This role blends strategic oversight with technical delivery, ensuring that data systems are scalable, reliable, efficient, and aligned with organizational goals. The associate will leverage advanced knowledge of T-SQL, Azure SQL, Azure Data Factory, Microsoft Fabric, and ETL/ELT best practices to design robust solutions, guide modernization efforts, and support data-driven decision-making across the business in a fast-paced environment with lots of autonomy

Bachelor of Science in Computer Science, Bachelor of Arts in Information Systems, or relevant work experience required

· 3-4 years of experience in data architecture and engineering roles · Advanced proficiency in T-SQL

· Effective at Azure SQL database design and optimization

· Proven experience developing and maintaining pipelines with Azure Data Factory

· Expertise with Microsoft Fabric for advanced data integration and analytics

· Strong understanding of data modeling, schema design, and warehousing techniques

· Experience with ETL/ELT processes and performance tuning

· Working proficiency in Python, including PySpark, for data transformation in Fabric notebooks · Demonstrated ability to set and enforce data governance and architecture standards · Knowledge of Power BI (semantic models, DAX) or similar BI tools preferred

Microsoft Certified: Fabric Data Engineer Associate (DP-700), Fabric Analytics Engineer Associate (DP-600), or comparable Azure data certification preferred