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Senior Data Engineer

Roehl Transportposted 17 days ago

Full-time • Senior

Appleton, WI

1,001-5,000 employees

Truck Transportation

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About the position

As a Senior Data Engineer with TeamRoehl, you make a difference by designing, developing, and implementing innovative data solutions that provide deep value to our Roehl team members and drivers. You are responsible for developing and optimizing critical infrastructure, ETL processes and data retrieval methodologies to create and deliver high value Roehl information assets. You will also be a critical leader in helping to execute our Power BI Cloud strategy. This technical leader will be on the front line of striving for modern data practices. Roehl Transport is a data rich environment! Our 2,000+ tractors and 5,000+ trailers are generating hundreds of data points per mile. Our proprietary customer and driver management systems and sophisticated communications systems are full of data just ready to be explored and leveraged. We can provide you with a rewarding and challenging work environment, collaborative team culture, and the opportunity to have a meaningful impact. This position has a high level of interaction with end users and will give you the ability to create and maintain purposeful products that make a difference! You create Driver Success by using your technical skills and abilities to create purposeful products that help us improve driver productivity and satisfaction.

Responsibilities

Design, develop, and implement innovative data solutions.
Develop and optimize critical infrastructure, ETL processes, and data retrieval methodologies.
Execute the Power BI Cloud strategy.
Collaborate with business analysts, data owners, and BI Developers to collect and validate data requirements.
Analyze organizational needs and provide effective data engineering solutions.

Requirements

Expert level SQL Skills.
Multiple years of building and implementing data warehousing and analytical solutions.
2 or more years of experience developing within a modern information stack.
Deep understanding of relational and dimensional data models and metadata practices.
Understanding of basic data governance practices.
Understanding of Agile development practices.
Understanding of secure data handling practices.
Experience with the Microsoft stack, utilizing SQL Server and T-SQL.
Experience with C#.
Cloud Experience, Azure preferred.
Experience with modern visualization tools such as Power BI or Tableau.
Experience with Angular or similar web development platforms.
Experience with Cloud Data Lake implementations.
Experience with Azure data pipelines.
Experience with Snowflake.