Senior Data Engineer - Scalable Pipelines on GCP

Stefanini, Inc; Southfield (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

Stefanini, Inc. invites a Sr Software Engineer to join the Southfield, MI office to design and maintain scalable data infrastructure.

You will build data pipelines, models, and applications for efficient data workflows, and work closely with AI/ML teams and product managers to meet data requirements while ensuring security and reliability. The role emphasizes rigorous testing, monitoring, and optimization of pipelines, with opportunities to contribute across data collection, transformation, and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position.
• Proficiency with SQL and Python; experience with Java and PowerShell.
• Hands-on experience with Google Cloud Platform (GCP), BigQuery, cloud storage, and ETL/ELT pipelines.
• CI/CD pipeline implementation; awareness of AI/ML concepts and tools.

Responsibilities

• Design, build, and maintain scalable data infrastructure for data collection, storage, transformation, and analysis.
• Develop data pipelines, data models, and applications to enable efficient data workflow.
• Collaborate with AI/ML engineers, data scientists, and product managers to integrate data solutions and ensure data security.
• Implement testing strategies and monitor, optimize, and troubleshoot data pipelines.

Education

Bachelor's degree in Computer Science, Computer Engineering, Data Science or foreign equivalent

Tools

SQL

Python

Java

PowerShell

GCP

BigQuery

Cloud storage

ETL/ELT

CI/CD

AI/ML

Job description

Stefanini, Inc. invites a Sr Software Engineer to join the Southfield, MI office to design and maintain scalable data infrastructure.

You will build data pipelines, models, and applications for efficient data workflows, and work closely with AI/ML teams and product managers to meet data requirements while ensuring security and reliability. The role emphasizes rigorous testing, monitoring, and optimization of pipelines, with opportunities to contribute across data collection, transformation, and