IT Data Engineer-Level 3

Cintas

• $95K — $115K *
Mason, OH 45040In-Person
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field
  • Minimum of 5 years of data engineering experience
  • Proficiency in designing enterprise data pipelines and integration solutions
  • Experience with cloud platforms such as GCP, AWS, or Azure
  • Strong SQL and data modeling skills
  • Hands-on experience with technologies like Spark, PySpark, Dataflow, and Hadoop
  • Familiarity with CI/CD practices and source control tools

Responsibilities

  • Develop and maintain data engineering pipelines
  • Design and implement strategies for data acquisition
  • Utilize cloud technology for data analysis and reporting
  • Create data models for machine learning and analytics
  • Develop database artifacts to manage large datasets
  • Participate in SDLC tasks including design reviews and documentation
  • Migrate data artifacts to production environments

Benefits

  • Comprehensive medical, dental, and vision benefits at competitive premiums
  • Multiple flexibility options for medical plans, including a zero-cost plan
  • 401(k) with company match and profit sharing
  • 100% company-paid disability, life, and AD&D insurance
  • Generous paid time off and holiday allowances
  • Opportunities for skills development and career advancement
Full Job Description
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

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

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