Data Engineer

Company Information

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 power trains, provides financial services and information technology, and distributes truck parts related to its principal business.   Peterbilt Motors Company On highways, construction sites, city streets, logging roads - everywhere our customers earn their living - Peterbilt's red oval is a familiar symbol of performance, reliability, and pride.  Peterbilt has reigned as America's premium quality truck manufacturer since the company's founding in 1939. Our dedication to deliver products and services focused on improving customers' performance, image, profitability, and peace of mind truly makes Peterbilt the Class of the Industry.   Requisition Summary

This position is for a Data Engineer with the Peterbilt Advanced Analytics team. This team focuses on solving Peterbilt’s most important challenges using Data and Advanced Analytics.  The Advanced Analytics team works on a huge variety of projects; from predictive analytics models to support Operations, to prescriptive analytics to support Peterbilt sales efforts, and data mining projects to identify the drivers of warranty claims. This team works on high-impact and high-visibility projects. Data Engineers present their work to senior executives, helping shape not only Peterbilt’s current business, but its long term strategy.   The team embraces a collaborative approach to Data Science, sharing best practices and new ideas. Come join this dynamic, growing and pioneering team! Job Responsibilities

Build, maintain, and support automated data pipelines across a wide range of data sources using an AWS, Informatica, Attunity, and Snowflake technology stack, with a strong emphasis on scalability and automation. Contribute to the overall data architecture, frameworks, and design patterns used to store, process, and manage large volumes of data. Develop and implement solutions to measure, monitor, and improve data quality in alignment with business requirements. Ensure product and technical features are delivered on time and in accordance with functional and technical specifications. Design and implement reporting and analytics capabilities in collaboration with product owners, analysts, and business partners, using Agile/Scrum methodologies and tools such as Tableau. Promote product health by developing automated, scalable, and sustainable solutions, with a strong focus on minimizing defects and reducing technical debt. Provide post-implementation and production support for data pipelines and related data solutions. Partner with business units to understand data engineering and IoT needs, define use cases, establish processes, and translate requirements into scalable solution designs. Up to 5% travel can be expected. Required Qualifications

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Master's degree preferred. 5+ years of professional experience in a data engineering or similar role. 1+ years of hands-on experience with AWS and related services (e.g., EC2, ECS, S3, SNS, Lambda, IAM). Experience building and maintaining data pipelines using tools such as Informatica, Attunity, Snowflake, or comparable data integration and cloud data platforms. Working knowledge of dimensional modeling (e.g., Kimball), ETL/ELT patterns, and data warehousing concepts (e.g., Snowflake, Redshift). Experience with relational databases such as SQL Server and PostgreSQL; familiarity with NoSQL databases (e.g., MongoDB, DynamoDB) a plus. Proficiency in Python and SQL; familiarity with Java, Scala, or C# a plus. Exposure to big data technologies such as Spark. Experience with BI tools such as Tableau to develop reports and dashboards that generate