Senior Data Engineer: Build Scalable Pipelines

Stefanini Group; Dearborn (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

Stefanini Group is seeking a Data Engineer in Dearborn, MI to design, build, and maintain end-to-end data solutions—including pipelines, warehouses, and data lakes—to enable scalable analytics. This onsite role requires 5+ years in data engineering and proficiency with GitHub, GCP, BigQuery, Python, and ML.

A Master’s degree is required. Collaboration with stakeholders will drive reliable data platforms and automated workflows.

Qualifications

• 5+ years of experience in Data Engineering.
• Experience with GitHub, Google Cloud Platform, BigQuery, Python and ML.

Responsibilities

• Collaborate with stakeholders to understand data needs.
• Design, build, and maintain scalable data infrastructure for collection, storage, transformation, and analysis.
• Plan and implement data pipelines, models, and applications for reliable data workflows.
• Develop data platforms like data warehouses, data lakes, and lakehouses for structured and unstructured data.
• Create analytical tools and scripts to support data engineering activities.
• Ensure performance and identify opportunities for improvement.

Skills

Data engineering

Python

Machine learning

Education

Master's degree

Tools

GitHub

Google Cloud Platform

BigQuery

Job description

Stefanini Group is seeking a Data Engineer in Dearborn, MI to design, build, and maintain end-to-end data solutions—including pipelines, warehouses, and data lakes—to enable scalable analytics. This onsite role requires 5+ years in data engineering and proficiency with GitHub, GCP, BigQuery, Python, and ML.

A Master’s degree is required. Collaboration with stakeholders will drive reliable data platforms and automated workflows.