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Wolverine Worldwide is a global marketer of branded footwear, apparel, and accessories. With an established global footprint that spans approximately 200 countries and territories, as well as a rock-solid infrastructure, Wolverine Worldwide is dedicated to advancing the following brands that comprise the ever-expanding portfolio: Bates, Chaco, Cat Footwear, Harley Davidson Footwear, Hush Puppies, Merrell, Saucony, Sperry, Sweaty Betty and Wolverine. Wolverine Worldwide’s continued success is driven by our ability to stay true to our simple mission: we empower, engage and inspire our consumers – every step of the way.

As an Azure Data Engineer, you'll join our team to help build data solutions using Microsoft Azure. We're looking for someone who knows about Azure data services and has some experience with data warehousing, integration, and modeling. You'll also need to understand the basics of governance, security, monitoring, and cost management in the Azure ecosystem.

The is not a Senior or Lead level role. The ideal candidate will have 3-5 years of full time work experience with a passion for Data Engineering and Azure data engineering products. We are seeking someone looking to build a career in technology at Wolver Worldwide.Operates as a technology contributor in Azure Data Engineering by implementing modern data solutions with Azure Synapse Workflows, Data Pipelines, Notebooks, and SQL data warehousing solutionsFunctions as a contributor on large projects and/or task leader on small projects; coordinates own, milestone schedules and related communication; responsible for delivery of an assigned scope of workConfers with business and IT team members, including cross functional team members, to determine requirements while using best practices to support business needsEstimates configuration and development efforts for self - assists team members with problem solving related to performance and usage; collaborates across teams as neededParticipates in and supports change management standards and proceduresAuthors system documentation for own scope of workAssists in researching alternative solutions under manager direction; maintains awareness of current technologies and trendsDevelops technical and business proficiency through education, work assignments, research and technical/user group participation; demonstrates practical application of learning and actively shares knowledge across functional areaPerforms duties consistent with the company’s AAP/EEO goals and policies

Knowledge, Skills, and AbilitiesBachelor’s degree in Computer Science or a related field or equivalent work experience3-5 years of data engineering full time work experience experience in the implementation of modern data warehouse architecture as well as data delivery, data modeling, ETL tools, master data management and deployment of highly automated and documented solutions2+ years of full time work experience with Microsoft Azure data engineering products:Azure Synapse Studio, Pipelines/Workflows, Python Notebooks, Analytic Pools (serverless), SQL Server Development, and DevOps1-2+ years of experience with Python programming and data framesWorking knowledge of Azure Monitor, Application Insights, Cost Management or equivalent toolingExperience with MS Power BI a plus

Working Conditions

Full Time. 100% Remote. Must be located in Eastern on Central Time Zones.

#LI-Remote #LI-MM1

Salary Minimum

$81,523.82

Salary Maximum

$107,000.01

The above statements are intended to describe the general nature and level of work being performed and are not intended to be an exhaustive list of all responsibilities, duties and skills which may be required.

Wolverine Worldwide, Inc. is committed to creating a company that is as diverse as our consumers. We value the differences in one another and believe our differences make us stronger. Our diverse and inclusive corporate culture starts with the recruitment process. We are committed to being an equal opportunity employer. We aim to create equal opportunities for our associates, customers, and suppliers regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other legally protected characteristic.