Senior Data Engineer - Hybrid, Data Platform & Impact

Steelcase; Grand Rapids (MI); Hybrid; USD 97,000 - 121,000; Full time

Benefits offered by this job

Flexible hybrid schedule

Learning & development opportunities

Inclusive culture

Meaningful impact on people and planet

Job summary

Steelcase is hiring a Senior Data Engineer in Grand Rapids to transform enterprise data into reliable, scalable solutions by building modern data pipelines and partnering with analytics, data science, and engineering teams.

You will collaborate with product owners and engineers to scope MVPs, design robust data platforms, and drive governance and observability. This hybrid role emphasizes learning, inclusion, and meaningful impact while enabling scalable data processing across cloud platforms.

Qualifications

• At least 3 years of full-time experience in US as Data Engineer, Data Scientist, AI Engineer, Software engineer or similar position.
• Hands-on experience with Databricks, Apache Spark, Azure, and Python.
• Strong understanding of data engineering concepts, including data pipelines and scalable data processing solutions.
• Qualified applicants must be authorized to work in the United States on a full-time basis.

Responsibilities

• Collaborate with product owners, managers and engineers, help with scoping and defining Minimum Viable Products (MVPs).
• Collaborate with multi-functional teams to define, design, and build big data solutions using tools and programming languages like Databricks, Azure Data Factory, Apache Spark, Python, SQL.
• Architect, develop, and manage data platform infrastructure, ensuring high availability, scalability, and security, using IaC and CI/CD pipelines.

Skills

Databricks

Apache Spark

Azure

Python

Data engineering concepts

Data governance

AWS / GCP

Scala

Tools

Azure Data Factory

Azure Purview

Snowflake

Azure Synapse

AWS Redshift

GCP BigQuery

Databricks Lakehouse

Job description

Steelcase is hiring a Senior Data Engineer in Grand Rapids to transform enterprise data into reliable, scalable solutions by building modern data pipelines and partnering with analytics, data science, and engineering teams.

You will collaborate with product owners and engineers to scope MVPs, design robust data platforms, and drive governance and observability. This hybrid role emphasizes learning, inclusion, and meaningful impact while enabling scalable data processing across cloud platforms.