Hybrid Data & AI Engineer — Enterprise Pipelines

Winnebago Industries, Inc.; Eden Prairie (MN); Hybrid; USD 105,000 - 125,000; Full time

Job summary

Winnebago Industries is seeking a Data & AI Engineer to join our team onsite in Eden Prairie, MN. This role designs, builds, and supports data pipelines, AI solutions, and analytics capabilities that enable trusted, data-driven decision making.

You will collaborate with business and technical stakeholders, implement data governance and master data, and operationalize AI/ML solutions while adopting Dev/Sec/Ops practices to ensure scalable, secure delivery.

Qualifications

• 3+ years of Spark (PySpark/SQL) and Delta Lake engineering experience.
• Experience with Microsoft Azure and Databricks.
• Willingness to travel to other Winnebago locations; relocation not provided.

Responsibilities

• Design, build, and optimize scalable data pipelines and AI solutions using Azure and Databricks.
• Develop and operationalize LLM/ML/AI capabilities into pipelines and workflows.
• Implement and maintain enterprise ontology, master data management, data standards, and data quality practices.
• Leverage Dev/Sec/Ops practices, including CI/CD, automated testing, and automation.
• Partner with data teams to translate requirements into technical designs delivering measurable business value.
• Support and operate existing / legacy data platforms and integrations.
• Collaborate with business and analytics teams to deliver value.
• Other duties as assigned based on business need.

Skills

Spark

Python

SQL

PySpark

Tools

Azure

Databricks

Delta Lake

Job description

Winnebago Industries is seeking a Data & AI Engineer to join our team onsite in Eden Prairie, MN. This role designs, builds, and supports data pipelines, AI solutions, and analytics capabilities that enable trusted, data-driven decision making.

You will collaborate with business and technical stakeholders, implement data governance and master data, and operationalize AI/ML solutions while adopting Dev/Sec/Ops practices to ensure scalable, secure delivery.