Senior Data Engineer: Cloud Pipelines & Analytics

Cintas Corporation; Mason (OH); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive medical, dental, vision

401(k) with company match/ESOP

Paid time off & holidays

Career development opportunities

Job summary

Cintas Corporation in Mason, Ohio is seeking an IT Data Engineer-Level 3 to design and maintain data pipelines and models for analytics and reporting. You will acquire data from transactional systems, load into Data Lake/Warehouse, and enable data scientists and analysts to build ML views and dashboards in Looker or Power BI.

Collaborating across the SDLC, you will leverage strong SQL and cloud experience to build scalable data architectures, perform data integration, and document artifacts for

Qualifications

• 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.

Responsibilities

• Design, develop, and maintain data pipelines and data models for analytics and reporting.
• Acquire data into Data Lake/Data Warehouse from transactional systems; collaborate with data teams on cloud platforms.
• Support data scientists and analysts with ML views and dashboards in Looker or Power BI.

Skills

SQL

Data modeling

Cloud platforms

Spark/PySpark

Dataflow

Dataproc

Data Fusion

Hadoop

Terraform

CI/CD

Data integration

Education

Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering or related quantitative field

Tools

Looker

Power BI

SAP ECC

SAP BW

CRM

EWM

Hybris

HANA

Job description

Cintas Corporation in Mason, Ohio is seeking an IT Data Engineer-Level 3 to design and maintain data pipelines and models for analytics and reporting. You will acquire data from transactional systems, load into Data Lake/Warehouse, and enable data scientists and analysts to build ML views and dashboards in Looker or Power BI.

Collaborating across the SDLC, you will leverage strong SQL and cloud experience to build scalable data architectures, perform data integration, and document artifacts for