Senior Data Engineer: Cloud-Native Pipelines & SAP

Grainger; Chicago (IL); Hybrid; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

18 PTO days + 6 holidays

401(k) company match 6%

Tuition reimbursement

Life insurance

Job summary

Grainger is seeking a Senior Data Engineer in the United States to design, build, and optimize scalable data pipelines powering analytics and enterprise applications. You will work across data engineering, data platform, and software development, focusing on automation, cloud-native architectures, and SAP S/4HANA integration to support end-to-end business solutions.

You will collaborate with data scientists, software engineers, and product teams to deliver robust data products, ensure data

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Engineering.
• 7+ years designing and supporting large-scale data systems.
• Experience with cloud data platforms and data pipelines.
• Proficient in Python/SQL and data engineering tooling.

Responsibilities

• Design, build, and maintain scalable, cloud-native data pipelines and ETL workflows.
• Develop data products for analytics and real-time decision-making.
• Build and deploy backend applications using Python, SQL, and Scala.
• Create data platforms (data lakes/warehouses) and APIs for real-time and batch use cases.
• Collaborate with data scientists, software engineers, product, and operations.

Skills

Cloud platforms (AWS/GCP/Azure)

Python

SQL

Data modeling

Distributed systems

Data governance

Communications

Mentoring

APIs

Scala

Education

Bachelor's degree in Computer Science/Software/Data Engineering

Tools

Snowflake

Databricks

PostgreSQL

Kafka

Docker

Kubernetes

Terraform

Job description

Grainger is seeking a Senior Data Engineer in the United States to design, build, and optimize scalable data pipelines powering analytics and enterprise applications. You will work across data engineering, data platform, and software development, focusing on automation, cloud-native architectures, and SAP S/4HANA integration to support end-to-end business solutions.

You will collaborate with data scientists, software engineers, and product teams to deliver robust data products, ensure data