Senior Data Engineer

NAM Info Inc; Missouri; On-site; USD 110,000 - 160,000; Full time

Job summary

ProCODE seeks a Senior Data Engineer to lead modernization of enterprise reporting and analytics using Microsoft Fabric and Power BI. You will design, build, and govern data platforms enabling trusted operational insights, analytics, AI readiness, and enterprise-scale reporting.

The role requires hands-on Fabric, Power BI semantic modeling, data architecture, and governance expertise, plus migration of legacy assets and collaboration with business and technology stakeholders to deliver

Qualifications

• Proven experience in data engineering or BI development.
• Expertise with Power BI including data modeling and DAX.
• Experience designing enterprise data platforms in Fabric/Azure.
• Strong SQL development and data modeling skills.
• Experience building ETL/ELT pipelines from multiple systems.
• Knowledge of data governance and data quality frameworks.
• Hands-on Fabric components: OneLake, Data Factory, Lakehouse, Data Warehouse, Spark Notebooks.
• Experience migrating reports from Domo/Tableau to Power BI.

Responsibilities

• Migrate operational reporting assets to Microsoft Fabric and Power BI.
• Define Fabric architectures including Lakehouses and Warehouses.
• Build reusable engineering patterns to accelerate migrations.
• Develop enterprise-scale Power BI datasets for various reporting needs.
• Optimize Fabric capacity, storage, performance, and cost.
• Design and implement data ingestion pipelines from enterprise systems.
• Apply medallion architecture (Bronze/Silver/Gold) within Fabric.
• Ensure data quality, reliability and observability across data lifecycles.
• Modernize ETL/ELT and reporting solutions to cloud-native architectures.
• Partner with analysts and product stakeholders on analytical requirements.

Skills

Data engineering

Analytics engineering

BI development

SQL development

Stakeholder management

Education

Bachelor's degree in CS/IS/Engineering

Tools

Power BI

Microsoft Fabric

Data Factory

Azure

Spark

SQL

APIs

Job description

The Senior Data Engineer will play a critical role in ProCODE's transformation of enterprise reporting and analytics through Microsoft Power BI and Microsoft Fabric. This position is responsible for designing, building, and governing modern data platforms that enable trusted operational insights, analytics, AI readiness, and enterprise-scale reporting.

The ideal candidate combines deep data engineering expertise with hands‑on experience in Microsoft Fabric, Power BI semantic modeling, data architecture, and enterprise governance. This role will lead migration efforts from legacy reporting platforms, establish scalable Fabric design patterns, and partner with business and technology stakeholders to deliver certified, governed, and high‑performing analytical solutions.

Role:

Microsoft Fabric & Power BI Modernization

• Migration of operational reporting assets and datasets to Microsoft Fabric and Power BI.
• Implement Fabric architectures including Lakehouses, Warehouses, Semantic Models, Data Pipelines, and OneLake strategies.
• Build reusable engineering patterns that accelerate dashboard migration and reduce delivery effort.
• Develop enterprise‑scale Power BI datasets supporting operational, executive, and strategic reporting.
• Optimize Fabric capacity utilization, storage strategy, performance, and cost management.
• Build and maintain scalable data ingestion and transformation pipelines from enterprise platforms and operational systems.
• Design and implement medallion architecture patterns (Bronze, Silver, Gold) within Fabric.
• Develop data integration solutions utilizing Fabric Data Factory, notebooks, Spark, SQL, APIs, and related technologies.
• Ensure data quality, reliability, availability, and observability throughout the data lifecycle.
• Support modernization of existing ETL and reporting solutions into cloud‑native architectures.

Analytics Enablement

• Partner with Power BI developers, business analysts, and product stakeholders to define analytical requirements.
• Design scalable semantic models that support both operational reporting and advanced analytics use cases.
• Improve performance, usability, and adoption of enterprise reporting assets.
• Participate in architecture reviews and provide technical leadership for reporting modernization initiatives.

All About you:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline.
• experience in data engineering, analytics engineering, or business intelligence development.
• experience with Microsoft Power BI including semantic modeling, DAX, data modeling, and report optimization.
• Experience designing and operating enterprise data platforms in Microsoft Fabric, Azure, or comparable cloud ecosystems.
• Strong SQL development and data modeling expertise.
• Experience building ETL/ELT pipelines and integrating data from multiple enterprise systems.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Strong communication and stakeholder management skills
• Hands-on experience with Microsoft Fabric components including:
  • OneLake
  • Data Factory
  • Lakehouse
  • Data Warehouse
  • Spark Notebooks
  • Data Agents
• Experience migrating reporting platforms from Domo, Tableau, or similar BI tools to Power BI.
• Experience with Power Platform technologies including Power Apps and Power Automate.
• Knowledge of AI/ML enablement within Fabric.
• Microsoft Azure or Microsoft Fabric certifications.