Data & AI Engineer

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

Job summary

Winnebago Industries Inc. in Eden Prairie, MN is seeking a Data & AI Engineer to join our on-site team, with a hybrid work model.

You will design and operate data pipelines, AI solutions, and analytics capabilities across BI and MDM initiatives to enable data-driven decisions. The role requires 3+ years of Spark/PySpark, Delta Lake, Azure and Python experience, with travel to other locations possible and not relocation eligible.

Qualifications

• 3+ years of experience with Spark PySpark/SQL.
• Proven experience with Azure and Databricks in data/AI projects.
• Experience designing and deploying data pipelines and AI solutions.

Responsibilities

• Design, build, and optimize scalable data pipelines and AI solutions.
• Develop and operationalize ML/LLM capabilities within data platforms.
• Implement data governance, quality, and master data management practices.

Skills

Spark PySpark/SQL

Delta Lake

Azure

Databricks

Python

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Indirect Eden Prairie, MN, US

2 days ago Requisition ID: 2766

Salary Range: $105,000.00 To $125,000.00 Annually

Are you passionate about evolving technology? Do you want to be part of a growing team? Winnebago Industries is seeking a Data & AI Engineer to join our team onsite in Eden Prairie, MN. This role is hybrid. The Engineer of Data and AI support enterprise Artificial Intelligence (AI), Data Integration (DI), Business Intelligence (BI), and Master Data Management (MDM) initiatives across Winnebago Industries. This role designs, builds, and supports data pipelines, AI solutions, and analytics capabilities that enable trusted, data-driven decision making. The engineer partners with business and technical stakeholders to implement data governance standards, manage master data, and operationalize AI and machine learning solutions. Working collaboratively with project teams and service partners, the role delivers scalable, secure, and reliable data and AI solutions that drive measurable business value and support enterprise priorities.

Day to Day of the Role:

• Design, build, and optimize scalable data pipelines and AI solutions using Azure and Databricks to help drive platform strategy/roadmaps.
• Develop and operationalize LLM/ML/AI capabilities into pipelines and workflows that continuously improve output quality and performance as use cases evolve.
• Implement and maintain enterprise ontology, master data management, data standards, and data quality practices to enable analytics and AI solutions.
• Leverage Dev/Sec/Ops best practices, including CI/CD, automated testing, and automation to increase delivery speed and operational stability.
• Partner with development and data teams across the organization, fostering a culture of best practices, innovation, and continuous improvement
• Support and operate existing / legacy data platforms and integrations.
• Collaborate with business and analytics teams to translate requirements into technical designs that deliver measurable business value.
• Other duties as assigned based on business need

Education & Experience:

• 3+ years of experience with Spark (PySpark/SQL) and Delta Lake engineering skills.
• Proven experience designing, implementing, and maintaining data and analytics capabilities using Microsoft Azure, Databricks, Python or comparable technologies.
• This position may require travel to other Winnebago locations.
• Position is not eligible for relocation.

By fostering innovation, igniting growth, promoting well-being and connecting with purpose, we cultivate the passion and pride that make both work and play extraordinary.Greatness is in yourNATURE.

This posting includes a range of the salary across a geographical market. The base pay for this position ranges from $105,000/year in our lowest geographic market up to $125,000/year in our highest geographic market. Pay is based on a number of factors including market location, internal equity, job-related knowledge, skills, and experience. Dependent on the position other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.winnebagoind.com/careers/total-rewards.