Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium-, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes truck parts related to its principal business. Kenworth Truck Company Kenworth Truck Company, founded in 1923, is the manufacturer of The World's Best heavy and medium duty trucks. With an excellent heritage of quality, innovation and technology, Kenworth has played an essential role in the development of trucks that are more fuel efficient, productive, and economical to operate. Today, Kenworth is leading transportation innovation with the introduction of battery-electric vehicles, exploration of fuel cell electric powertrains, and autonomous driving systems. Kenworth is committed to fostering an environment of diversity, equality and inclusivity in the workplace. Requisition Summary We are looking for an experienced Data Engineer with an uncanny ability to integrate multiple heterogeneous data sources to build efficient, flexible, and scalable data warehouse and reporting solutions. The ideal candidate is enthusiastic about learning new technologies and implementing solutions using these technologies to empower internal customers and scale the existing platform. The ideal candidate demonstrates solid business and communication skills and ability to work with Research Scientists and business owners across both technical and non-technical teams to develop and define key business questions, then build the data sets that answer those questions. In this role, you will serve as the expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end user facing reporting applications. Above all, you should be excited about bringing large datasets together to answer business questions and drive data driven decision making. The Data Engineer will design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics and deep learning. Implement data structures using best practices in data modeling, ETL/ELT processes in Azure Synapse, AWS Redshift, Snowflake and OLAP technologies He/she will be writing scalable queries and tuning performance on queries running over billion of rows of data. The person in this position should be analytical, have an extremely high level of customer focus and a passion for process improvement. The Data Engineer should be motivated self-starter that can work independently in a fast paced, ambiguous environment and should have excellent business and communication skills to be able to work with business owners to develop and define key business questions. Job Functions / Responsibilities Design, implement, and support data warehouse infrastructure using Azure Data factory, SQL Server, and multiple other RDBMS engines. Create ELT/ETL procedures to take data from various operational systems and integrate into a dimensional or star schema data model for analytics and reporting. Support Data Analysts and Research Scientist in analyzing usage data to derive new insights and fuel customer success Use business intelligence and visualization software (e.g., PowerBI, Tableau Server, Jupyter Notebooks, etc.) to empower non-technical, internal customers to drive their own analytics and reporting. Manages data models and related artifacts in a source safe repository such as TFS or GitHub. <