IT Data Engineer-Level 3
Analytics
Big Data
Bigdata
Business Analytics
Business Intelligence
Cloud
Cloud Infrastructure
Cloud Native
Cloud Platform
Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Dataproc
DevOps
DevSecOps
Digital Marketing
ETL
Google Cloud
Informatica
Information Technology (IT)
Infrastructure As Code
Microsoft
Power BI
Power Platform
Reporting and Analytics
SQL
Visual Design
Job Description
Cintas provides comprehensive, competitive benefits and flexibility to support your life outside of work. For this onsite opportunity in Mason, OH, you will build and improve data engineering capabilities that power analytics and machine learning use cases, working across data pipelines, modeling, and reporting.
What you’ll do
- Work on data engineering pipelines, data modeling, analytics, and support of complex issues
- Identify data acquisition strategies and design how data moves into enterprise environments
- Design and develop programs to acquire data into Data Lake / Data Warehouse from transactional systems, using a variety of tools and third-party adaptors as applicable
- Collaborate with the data team to efficiently use cloud technology platforms for analysis, data model development, and report or visualization generation
- Design the data flow so data scientists can build views for ML use cases, and data analysts can build reports and dashboards in Looker or Power BI
- Identify, design, and develop database artifacts such as Tables, Calculation Views, and SQL Script Procedures to stage large volumes of input and output data
- Participate in SDLC activities including status reporting, design reviews and approvals, detailed functional and technical documentation, and migration of artifacts to production
What you bring
- Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, or a related quantitative field
- Minimum 5 years of data engineering experience
- Experience designing and supporting enterprise data pipelines and data integration solutions
- Experience with cloud-based data platforms such as GCP, AWS, or Azure
- Strong SQL and data modeling skills
- Experience with Spark/PySpark and related technologies such as Dataflow, Dataproc, Data Fusion, Hadoop, Terraform, or similar tools
- Experience with CI/CD practices and source control tools
- Experience integrating data from enterprise systems into analytical platforms
Technologies you may use
- SQL, Spark, PySpark
- Dataflow, Dataproc, Data Fusion, Hadoop
- Terraform
- GCP, AWS, Azure
- Looker, Power BI
- CI/CD
- Data Lake, Data Warehouse
Skills development and benefits
- Comprehensive and competitive medical, dental, and vision benefits, with premiums below the national average
- Four medical plan options; one plan is offered at zero cost
- 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
Preferred experience
- 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
Job Category: Information Technology | Organization: Operations | Employee Status: Regular | Schedule: Full Time | Shift: 1st Shift
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