Work with a nationally ranked CPA and advisory firm that is passionate for what's next. Aprio has 30 U.S. office locations, one in the Philippines and more than 2,100 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's Information Technology team and you will help clients maximize their opportunities. Aprio is a progressive, fast-growing firm looking for a Data Engineer, IT Data Services to join their dynamic team. Position Responsibilities - Data Architecture & Storage - Design scalable, secure, and high-performing data solutions aligned to business needs - Create robust data models, flows, and storage using Microsoft Fabric and Azure SQL - Manage master data with Profisee and integrate with existing systems - Data Integration & Transformation - Build and manage data pipelines using Azure Data Factory and related tools - Ingest data from APIs and external systems into the Azure ecosystem - Implement ETL/ELT logic to prepare data for consumer use - Testing, Monitoring & Optimization - Ensure data quality, consistency, and integrity across all stages - Troubleshoot performance issues and fine-tune data pipelines - Use Azure monitoring tools and Purview for data estate management - Advanced Analytics & Reporting - Develop OLAP cubes and tabular models with SSAS - Write complex MDX and DAX queries for data analysis - Integrate data models with Power BI, Excel, and SSRS for reporting - Collaboration & Documentation - Work closely with analysts, developers, and business leaders to translate needs into data-driven solutions - Document architectures, processes, and provide support/training as needed - Participate in Agile sprints and contribute to continuous improvement Qualifications - 5+ years of experience in data engineering, database development, or architecture - Proficiency with SQL, NoSQL, and lakehouse architecture - Master data management using Profisee software - Management of data estate using Purview software - Deep knowledge of Azure services: ADF, Fabric, Synapse, Data Lake, Purview, etc. - Experience with master data management (Profisee preferred) - Strong understanding of data privacy, security, and API integration - Hands-on experience with SSAS (tabular & OLAP models), MDX, and DAX - Experience managing performance, data pipelines, and complex data models - Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or equivalent experience Nice to Have - Experience with Airbyte, DBT, or data virtualization - Familiarity with accounting or financial services environments - Knowledge of basic AI/ML concepts and model lifecycle - Certifications in Azure, Power BI, or data-related fields - Project management or Agile team experience Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what's next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring, and ambitious team of professionals in a collaborative culture. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law.