Senior Data Engineer

The Senior Data Engineer will play a key role in building and optimizing the data foundation that powers enterprise analytics and reporting. This position is heavily focused on SQL, data engineering, and data modeling, with responsibility for transforming business data into trusted, reporting-ready datasets. The ideal candidate has strong experience with data pipelines, data curation, and Power BI semantic models, along with basic DAX and Power Query (M) knowledge. While reporting exposure is important, the primary focus is on delivering scalable, high-quality data solutions that enable business users to make informed decisions.

• 8-10+ years of experience in Data Engineering, Data Warehousing, or Business Intelligence environments
• Strong SQL skills (rated 8-9/10) with experience developing complex queries, transformations, and optimized data solutions
• Strong understanding of data foundations, dimensional modeling, and data architecture best practices
• Experience designing and maintaining data pipelines and ETL/ELT processes
• Hands-on experience with Power BI data models, including DAX fundamentals and Power Query (M)
• Experience curating, cleansing, normalizing, and preparing business data for analytics consumption
• Python development experience
• Strong understanding of semantic models, star schema design, conformed dimensions, and proper data granularity
• Experience implementing data quality validations and monitoring processes
• Ability to translate business requirements into scalable, reusable data solutions
• Experience working in Agile environments and partnering with business stakeholders
• Strong communication and collaboration skills Experience with Microsoft Fabric STRONG Plus
• Experience migrating or modernizing solutions from Azure Synapse to Microsoft Fabric
• Experience with Lakehouse and Data Warehouse architectures
• Familiarity with Delta and Parquet file formats
• Experience with CI/CD, source control, and deployment automation Exposure to data governance, certification processes, and Centers of Excellence (COEs)