Principal Data Engineer Contract Onsite in Detroit, MI

Tech Mirrors; Detroit (MI); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Ally is seeking a Principal Data Engineer to design, build, and evolve modern data solutions within our Enterprise Data and AI organization. This role requires hands-on leadership and deep experience delivering cloud-based data platforms and scalable data pipelines in a hybrid environment in Detroit.

This position is onsite in Detroit, MI with a potential contract to hire; candidates must be legally authorized to work in the US and local to metro Detroit; hybrid schedule – 3 days a week at ADC.

Qualifications

• Experience with cloud-based data platforms.
• Strong background in data warehousing and data modeling.
• Experience with data integration and API development.
• Hands-on leadership in cloud data projects.

Responsibilities

• Design, build, and evolve modern data solutions.
• Deliver cloud-based data platforms and scalable pipelines.
• Support analytics, reporting, data science, and AI use cases.

Skills

Cloud technologies

Data warehousing

Data integration

Data modeling

API development

Job description

Job Title: Principal Data Engineer
Onsite in Detroit, MI
Contract

This is a potential contract to hire position – all candidates submitted must be legally authorized to work in the US without sponsorship and local to metro Detroit; able to work a hybrid schedule – 3 days a week at ADC.

The Opportunity

Are you passionate about data, architecture, software development, and analytics? Do you bring deep experience with cloud technologies, data warehousing, data integration, data modeling, and API development? Do you believe in modern engineering practices, collaboration, and innovation to build the next generation of enterprise data and AI platforms? If so, we’d like to talk with you.
Ally is seeking a Principal Data Engineer to help design, build, and evolve modern data solutions within our Enterprise Data and AI organization. This role is ideal for a strong technical leader with hands-on experience delivering cloud-based data platforms, scalable data pipelines, and enterprise data solutions that support analytics, reporting, data science, and AI use cases.