Senior Data Engineer bei Moss Adams

At Moss Adams, we champion authenticity. For us, that means fostering a culture of talented people who care—about you, about our clients, and about our communities. Here, you’ll work towards our mission of empowering others to embrace opportunity, growing as a leader along the way. Our firm’s size, middle-market clients, customized career paths, and supportive culture make this a reality. Join a values-driven firm where you’ll have fun while solving complex and interesting business challenges.

As a Senior Data Engineer, you’ll design and optimize data solutions on the Microsoft stack to transform raw data into reliable, analytics-ready assets. You’ll build scalable ETL pipelines, implement data models and governance, collaborate with clients, and drive continuous improvement.

Individuals who thrive at Moss Adams exhibit the following success skills – Collaboration, Critical Thinking, Emotional Intelligence, Executive Presence, Growth Mindset, Intellectual Curiosity, and Results Focus.

Responsibilities:

• Design, build, and optimize modern data solutions for our mid market and enterprise clients
   
• Transform raw data into trusted, analytics ready assets that power dashboards, advanced analytics, and AI use cases – working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric)
   
• Develop scalable, well documented ETL/ELT pipelines using T SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best practice patterns for performance, security, and cost control. 
   
• Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion style layers, and dimensional/semantic models for Power BI. 
   
• Build automated data quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub
   
• Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non technical audiences. 
   
• Research new Fabric capabilities, share findings in internal communities of practice, and contribute to reusable accelerators.  

Qualifications:

• Bachelor’s degree required. 
   
• Minimum of 3 years delivering production data solutions, preferably in a consulting or client facing role. 
   
• Strong SQL for data transformation and performance tuning. 
   
• Python for data wrangling, orchestration, or notebook-based development (PySpark), and hands on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines).
   
• Solid grasp of Azure fundamentals—storage, networking, security, and cost management. 
   
• Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake). 
   
• Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies, and exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks.
   
• Experience writing unit tests for data pipelines and transformation logic, understanding or working with metadata frameworks for data governance and lineage, and integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint, SAP, Netsuite, Sage Intacct, IFS, etc.)

Moss Adams is an Equal Opportunity Employer as to all protected groups, including protected veterans and individuals with disabilities.

Moss Adams complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact [email protected].

Certain jurisdictions in the United States require employers to disclose the pay range in job postings. This is the typical range of pay for the position.  Actual compensation may depend on factors such as qualifications, work experience, skills, and geographic location. This position may be eligible for an annual discretionary bonus. For more information about our benefit offerings and other total rewards, visit our careers page.