Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

The Data Engineer Senior Developer will provide critical infrastructure for analytical support and solution development for the broader Enterprise using market leading tools and methodologies. In this role, you will harness your expertise in dimensional modeling and advanced data engineering skills to create and deliver robust BI solutions and data products, catering to the needs of our internal stakeholders. The ideal candidate must have deep expertise in data modeling, infrastructure development, and will be responsible for designing, developing, and maintaining the Enterprise Analytics Platform to support data-driven decision-making across the organization. Success in this role requires a strong interest in analysis, best practice knowledge, critical thinking, problem-solving, as well as excellent interpersonal, communication, listening and presentation skills. The Data team strives for an unparalleled client experience and will look to you to promote our success and image firmwide.

Responsibilities

• Design, develop and implement advanced, scalable, and highly performant data pipelines using Azure Data Factory, SQL, and Python to support analytics and reporting.
• Integrate data from various sources, including SQL databases, Excel, cloud services, and other BI tools to develop and optimize data models (OLTP, OLAP) and ETL workflows to support reporting.
• Collaborate with other developers, senior leadership, and business SMEs to discover platform solution requirements, while performing data discovery and independently executing complex data analysis across multiple platforms (e.g., SQL, Fabric, Power BI, and Excel).
• Work with Microsoft Fabric to build and manage modern data infrastructure platform in a medallion architecture (Bronze, Silver, Gold), leveraging PySpark and other Notebook-based approaches.
• Demonstrate platform capabilities and promote application of tools as appropriate to address business requirements.
• Collaborate with peers on best practices for security, governance, and performance optimization.
• Understand and apply intermediate to advance Azure DevOps methodologies to drive an exemplary customer experience; apply elementary project management techniques to ensure communicable progress.
• Document processes, data flows, and architecture to ensure system transparency and maintainability.
• Effectively communicate across the organization in a manner easily understood by individuals with diverse technical and business backgrounds.

Requirements

• Intermediate or advanced proficiency and knowledge of databases (on-prem or cloud), querying data using SQL, Python, Power Query, or other comparable languages.
• Working Knowledge of Azure Data Services (e.g., Azure SQL Database, Azure Data Factory)
• Substantial experience with data modeling, ETL processes, as well as advanced understanding of dimensional modelling.
• Proficient in integrating data from various sources, including cloud-based platforms via API. Strong understanding of cloud ecosystems (Azure, AWS, GCP).
• Experience with Postman, SSAS Tabular, DAX Studio, ALM Toolkit, and/or Tabular Editor (2 or 3) a plus.
• Familiarity with Power BI semantic modelling, machine learning and advanced analytics a plus
• Expert skills in Microsoft PowerPoint, Excel, and Word.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• A good understanding of the agile development cycle and familiarity with Smartsheet or Azure DevOps preferred.
• Stay updated and up to speed with regards to new features, techniques, findings, and best practices emergent for core platforms.
• As required, work after-hours and during maintenance periods.
• Limited travel required to perform job duties (< 5%).

Qualifications

• Bachelor’s degree in computer science, Data Analytics, Data/Information Science, Information Systems, Mathematics (or other related fields).
• 3+ years of experience with SQ