Data & AI Engineer

Winnebago Industries
United States
Workplace: HybridFull timeUSD 105,000 - 125,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Data governance","Data quality","Stakeholder collaboration","Continuous improvement","DevSecOps mindset"]

Design, build, and operationalize enterprise data and AI capabilities that power trusted, data-driven decisions. You’ll create scalable Azure and Databricks data pipelines, integrate and improve LLM/ML/AI workflows, and implement master data management, data standards, and quality practices. Partner with business and technical teams to translate requirements into technical designs, while applying Dev/Sec/Ops best practices to support secure, reliable, and measurable business value across Winnebago.

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FursaFursa
Winnebago Industries
Winnebago Industries
14 hours ago

Data & AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Design, build, and operationalize enterprise data and AI capabilities that power trusted, data-driven decisions. You’ll create scalable Azure and Databricks data pipelines, integrate and improve LLM/ML/AI workflows, and implement master data management, data standards, and quality practices. Partner with business and technical teams to translate requirements into technical designs, while applying Dev/Sec/Ops best practices to support secure, reliable, and measurable business value across Winnebago.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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 to improve output quality and performance.
  • •Implement and maintain enterprise ontology, master data management, data standards, and data quality practices.
  • •Apply Dev/Sec/Ops best practices, including CI/CD, automated testing, and automation for stable, fast delivery.
  • •Support existing/legacy data platforms and integrations, and translate business/analytics requirements into technical designs.
Travel: Low travel

Pay and Benefits

Salary: USD 105,000 - 125,000 annually

Key Requirements

  • •3+ years of experience with Spark (PySpark/SQL) and Delta Lake engineering skills.
  • •Experience designing, implementing, and maintaining data and analytics capabilities using Microsoft Azure and Databricks.
  • •Proficiency with Python (or comparable technologies) for building and supporting data/analytics solutions.
  • •Ability to implement data governance standards, master data management, and data quality practices.
  • •Willingness to travel to other Winnebago locations if required.
Experience:3+ years
Skills:Data governanceData qualityStakeholder collaborationContinuous improvementDevSecOps mindset
Tech Stack:AzureDatabricksSparkPySparkSQLDelta LakePythonLLMMLAICI/CDAutomated testingMaster data managementMDMOntologyBIData pipelines

Company Brief

Winnebago Industries
Designs and manufactures recreational vehicles, including motorhomes, travel trailers, fifth wheels, and specialty transport solutions. The company serves outdoor and adventure travel consumers through a portfolio of well-known RV brands and related aftermarket products.
Industry: Automotive
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Forest City, United States
Founded: 1958
WebsiteLinkedIn