Hybrid Data Engineering Manager: Scale Data Platforms

Urban Science International Gmbh; Detroit (MI); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Urban Science International Gmbh in Detroit is seeking a Data Engineering Manager to lead data engineering teams and own critical data platforms, driving architecture, automation, and governance to deliver reliable, scalable data solutions.

This hybrid role requires in-person collaboration two days per week at the Detroit office, with a focus on data engineering excellence, security, and cross-functional impact across analytics, products, and operations.

Qualifications

• Proven experience leading technical projects and mentoring engineers.
• Ability to communicate effectively with technical teams, stakeholders, and senior leadership.
• Experience supporting large-scale data processing and analytics environments.

Responsibilities

• Lead, mentor, and develop Data Engineering teams across initiatives.
• Design, build, and maintain scalable data pipelines and platforms.
• Oversee production data operations, incident management, and data quality initiatives.
• Define data architecture standards and ensure solutions meet business needs.

Skills

Leadership & Communication

Collaboration

Data modeling

Python

CI/CD practices

SQL proficiency

Education

Bachelors in Computer Science or related field

8-10+ years data/ software engineering experience

Tools

SQL Server

Python

CI/CD tools (e.g., Git, Jenkins)

Job description

Urban Science International Gmbh in Detroit is seeking a Data Engineering Manager to lead data engineering teams and own critical data platforms, driving architecture, automation, and governance to deliver reliable, scalable data solutions.

This hybrid role requires in-person collaboration two days per week at the Detroit office, with a focus on data engineering excellence, security, and cross-functional impact across analytics, products, and operations.