Senior Data Engineer
Senior
Analytics
Azure Data Factory
Azure Data Platform
Azure Platform
Business Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Factory Azure
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Design
Engineer
ETL
Informatica
Information Technology (IT)
Microsoft
Microsoft Azure
Microsoft Fabric
Power BI
Programming Languages
Reporting and Analytics
SQL
Visual Design
Job Description
Roehl Transport is hiring a Senior Data Engineer in Appleton, WI (onsite) to design and deliver modern data solutions that support enterprise decision-making.
Responsibilities
- Design, develop, optimize, and support SQL-based data solutions with a focus on T-SQL, including stored procedures, views, functions, and performance-aware query design.
- Create and maintain relational and dimensional data models, including ERDs and well-structured operational models.
- Build and support data pipelines, integrations, and transformation processes across operational systems, reporting platforms, and cloud data environments.
- Collaborate with BI Developers, Data Analysts, Data Owners, Application Developers, and business stakeholders to understand requirements and deliver practical, high-value data solutions.
- Support Roehl’s Microsoft Fabric strategy by developing data assets that power Power BI, enterprise reporting, advanced analytics, and future AI-driven use cases.
- Use Python and AI-enabled tools when appropriate to improve automation, integration, analysis, and engineering productivity.
- Apply secure data handling, governance, metadata, and development best practices.
- Provide senior-level technical leadership through design input, code quality, standards, mentoring, and collaboration.
Requirements
- Expert-level SQL skills, including advanced T-SQL development.
- Strong experience designing and optimizing stored procedures, complex queries, views, functions, and SQL-based transformation logic.
- Strong understanding of relational modeling, ERDs, normalization principles, third normal form design, dimensional modeling, metadata practices, and data governance concepts.
- Multiple years of experience building and maintaining data warehousing, data integration, or analytical data solutions.
- Experience developing within a modern Microsoft-centric data stack, including SQL Server, Python, cloud technologies, and modern data platforms.
- Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, OneLake, Lakehouse concepts, or similar cloud data technologies.
- Experience supporting Power BI or other modern analytics and visualization platforms.
- Understanding of secure data handling, Agile development, source control, deployment practices, and tools such as Azure DevOps or GitHub.
- Strong communication skills and the ability to partner effectively with both technical and business teams.
Technologies
- T-SQL, SQL, SQL Server
- Stored procedures, Views, Functions
- Python
- Microsoft Fabric
- Power BI
- Azure Data Factory, Azure SQL
- OneLake, Lakehouse concepts
- Azure DevOps, GitHub
- ERDs
Preferred and plus skills
- Microsoft Fabric experience or a strong interest in developing Fabric expertise.
- Experience with Azure data pipelines, cloud data lake implementations, Lakehouse architecture, or modern ELT patterns.
- Experience using AI-assisted development, AI-enabled analytics, or practical AI tools to improve engineering productivity.
- Experience with C#, Power BI semantic models, dataflows, data quality, lineage, cataloging, governance, Visio, ERDs, and architecture diagrams.
- Experience in transportation, logistics, operations, or similarly data-rich environments.
The opportunity
- Hands-on senior individual contributor role focused on SQL development, stored procedure design, data modeling, cloud data engineering, and data integration.
- Join a small, highly trusted data and analytics team to build reliable data assets, modernize data platforms, and enable business teams with timely, meaningful information.
- Partner with Business Intelligence, Data Management, Application Development, Infrastructure, and business teams to transform data into trusted information assets that improve business performance, driver success, operational efficiency, and decision-making.
- Work in a data-rich environment with operational, customer, driver, logistics, and communications systems generating valuable data daily.
How we work
- Values: Safety, Driver Driven, Do the Right Thing, Innovation, Delivering Success, Unity in Diversity.
- Act with purpose, build on strong foundations, value good partnerships, and take pride in doing things the right way.
- Value technical depth, ownership, accountability, collaboration, and solving meaningful business problems through better data.
Company
- Roehl Transport, founded in 1962
- One of the nation’s largest, most progressive, and safest transportation and logistics companies
- Over 2,800 employees and offices across the U.S.; serving 8,800+ customers
- Work location: in person