Azure Data Engineer

Job Title: Data Engineer – Azure & Fabric Location: Chicago (Hybrid) – On-site cadence flexible; occasional travel to collaborate with partner teams and portfolio companies. About The Company A U.S.-based private equity firm focused on partnering with lower middle-market industrial growth businesses. The firm invests in high-performing companies that can benefit from operational, technology, and strategic resources to scale and thrive. Portfolio companies span essential industrial sectors, creating opportunities to apply shared data/technology solutions that drive measurable enterprise value. Job Summary We are seeking a hands-on Data Engineer to design and build a modern data platform in Microsoft Azure and Fabric . This role will focus on developing ETL pipelines, integrating key data sources (ERP, CRM, HRIS, subscription data), and building a scalable Data Mart to support analytics, reporting, and decision-making across the firm and its portfolio companies. The ideal candidate thrives in an individual contributor role, enjoys working in a multi-entity environment, and is passionate about building high-quality, reliable data solutions. Key Responsibilities • Design, build, and maintain ETL pipelines in Azure and Microsoft Fabric using a medallion architecture (bronze/silver/gold) . • Develop and optimize a centralized Data Mart to support business reporting, analytics, and self-service dashboards in Power BI. • Integrate structured and unstructured data from ERP, CRM, HRIS, and subscription-based systems via APIs and connectors. • Ensure data quality, lineage, and governance practices are followed to maintain trusted datasets. • Automate workflows and monitor pipelines for reliability, scalability, and performance. • Collaborate with analysts, business stakeholders, and portfolio companies to translate requirements into technical solutions. • Document data models, processes, and pipelines to support long-term maintainability. Requirements (Must-Haves) • 5+ years of experience as a Data Engineer with strong expertise in ETL, Azure services, and Microsoft Fabric . • Experience building Data Marts or Data Warehouses with medallion/lakehouse patterns. • Strong SQL and data modeling skills with a focus on structured and semi-structured data. • Hands-on experience integrating APIs and third-party data sources. • Familiarity with Power BI and enabling data for self-service analytics. • Strong problem-solving and documentation skills with a detail-oriented mindset. Nice to Haves • Experience harmonizing external datasets with internal sources. • Exposure to data governance frameworks and best practices. • Familiarity with modern approaches like dbt, orchestration tools (Airflow, ADF, Synapse Pipelines), or GenAI for data productivity.