Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $6k - $13k / month

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Ferguson

WebsiteLinkedInAll Job Openings

10,000+ employees

🤝 B2B

🛍️ eCommerce

🛒 Retail

B2B • eCommerce • Retail

Ferguson is a leading supplier of plumbing and HVAC products for residential and commercial markets. The company offers a wide range of products including water heaters, plumbing parts, and HVAC systems, as well as various tools and cleaning supplies. Ferguson provides solutions for professionals in the plumbing and HVAC industries, ensuring they have access to the resources and expertise they need for both new construction and remodeling projects.

📋 Description

• Design and develop complex Power BI semantic models and scalable reporting solutions. • Write advanced SQL (including Databricks SQL) and DAX to implement complex business logic. • Architect and maintain shared semantic models and datasets for analytics across reporting solutions. • Diagnose and resolve performance issues across Databricks and Power BI. • Collaborate with data engineering teams to define and consume curated Gold-layer datasets. • Refactor existing reports to transition to governed semantic models built on Databricks-backed data products. • Implement dataset governance practices including certification, documentation, and metric standardization. • Develop and validate data quality checks across Silver and Gold layers. • Design and implement automated analytical workflows integrating Power BI, Python, and the Power Platform. • Build forecasting, trend analysis, and statistical models supporting advanced analytics use cases. • Perform code reviews and provide technical guidance to Associate developers.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or equivalent experience. • Advanced expertise in SQL & DAX. • 3–6 years of Power BI development experience. • Experience working with modern data platforms such as Databricks and querying data using Databricks SQL. • Understanding of Lakehouse architecture concepts, including Bronze, Silver, and Gold data layers. • Experience integrating Databricks data with Power BI semantic models (Import and DirectQuery). • Familiarity with distributed data processing concepts and performance considerations for large-scale datasets. • Experience using Python or R for predictive analytics & statistical modeling. • Proven ability to design performant & scalable datasets. • Experience tuning DAX, model relationships, & refresh performance. • Strong ownership mindset for solution quality & stability.

🏖️ Benefits

• health, dental, vision • paid time off • life insurance • 401(k) with a company match • mental health coverage • gender affirming and family building benefits • paid parental leave • associate discounts • community involvement opportunities