Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Requisition Number: 234313

Job Description

The IT Data Engineer-Level 3 is responsible for: working on data engineering pipelines, data modelling, analytics and supporting complex issues. Specifically, data engineer will work to identify data acquisition strategies, design, and develop programs to acquire data into Data Lake/Data Warehouse from transactional systems using various tools and other 3rd party adaptors as applicable; work with data team to efficiently use Cloud technology platforms to analyze data, build data models and generate reports/visualizations; design the flow for data scientists to build the views for ML use cases and for Data Analysts to build reports and dashboards in visualization tools Looker or Power BI; identify, design and develop database artifacts like Tables, Calculation Views, SQL Script Procedures to stage large amounts of input and output data in Data Lake; participate in software development life cycle (SDLC) tasks like status reporting, design reviews and approvals, detailed functional and technical documentation, migration of artifacts to production.

Skills/Qualifications

Required

Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering or related quantitative field Minimum of 5 years of data engineering experience. Experience designing and supporting enterprise data pipelines and data integration solutions. Experience with cloud-based data platforms (GCP, AWS, or Azure). Strong SQL and data modeling skills. Experience with Spark/PySpark, Dataflow, Dataproc, Data Fusion, Hadoop, Terraform, or similar technologies. Experience with CI/CD practices and source control tools. Experience integrating data from enterprise systems into analytical platforms.

Preferred

Experience with GCP. Experience with SAP ECC, BW, CRM, EWM, Hybris, HANA, SLT, SDI, SDA, or related ERP technologies. Experience supporting analytics, reporting, ML, and AI use cases. Experience with Looker or Power BI.

Benefits Cintas offers comprehensive and competitive medical, dental and vision benefits, with premiums below the national average. We offer flexibility with four different medical plan options; one plan is offered at zero cost.

Additionally, our employee-partners enjoy:

• Competitive Pay • 401(k) with Company Match/Profit Sharing/Employee Stock Ownership Plan (ESOP) • Disability, Life and AD&D Insurance, 100% Company Paid • Paid Time Off and Holidays • Skills Development, Training and Career Advancement Opportunities

Company Information Cintas Corporation helps more than one million businesses of all types and sizes get Ready™ to open their doors with confidence every day by providing products and services that help keep their customers’ facilities and employees clean, safe, and looking their best. With offerings including uniforms, mats, mops, towels, restroom supplies, workplace water services, first aid and safety products, eye-wash stations, safety training, fire extinguishers, sprinkler systems and alarm service, Cintas helps customers get Ready for the Workday®. Headquartered in the U.S., Cincinnati, OH, Cintas is a publicly held Fortune 500 company traded over the Nasdaq Global Select Market under the symbol CTAS and is a component of both the Standard & Poor’s 500 Index and Nasdaq-100 Index.

Cintas Corporation is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, genetic information, disability, protected veteran status, or any other characteristic or category protected by local, state, or federal law.

This job posting will remain open for at least five (5) days.

Job Category: Information Technology Organization: Operations Employee Status: Regular Schedule: Full Time Shift: 1st Shift