Senior Data Engineer

This position is for a Data Engineer with the Peterbilt Advanced Analytics team. The team focuses on solving Peterbilt’s most important challenges using Data and Advanced Analytics. The Data Engineer will 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.

What You Will Do

The Data Engineer will contribute to the overall data architecture, frameworks, and design patterns used to store, process, and manage large volumes of data. They will develop and implement solutions to measure, monitor, and improve data quality in alignment with business requirements. They will also design and implement reporting and analytics capabilities in collaboration with product owners, analysts, and business partners.

Why It Might Be a Fit

The Data Engineer will work on high-impact and high-visibility projects, presenting their work to senior executives and 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.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• 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 insights from data.
• Experience contributing to projects in a collaborative, cross-functional team environment.
• Strong analytical skills, attention to detail, and a solution-oriented approach.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Self-motivated learner with a curiosity for new tools, techniques, and business problems.

Benefits

• 401k with up to a 5% company match
• Fully funded pension plan that provides monthly benefits after retirement
• Comprehensive paid time off – minimum of 10 paid vacation days (additional days are provided with additional seniority/years of service), 12 paid holidays, and sick time
• Tuition reimbursement for continued education
• Medical, dental, and vision plans for you and your family
• Flexible spending accounts (FSA) and health savings account (HSA)
• Paid short-and long-term disability programs
• Life and accidental death and dismemberment insurance
• EAP services including wellness plans, estate planning, financial counseling and more
• Holiday gift