Cloud Data Engineer — ETL Pipelines, Python & Spark

Dexian; Dearborn (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading technology services firm in Dearborn is seeking a Data Engineer to design and maintain data pipelines essential for AI initiatives. The ideal candidate will have strong expertise in Python, SQL, and cloud technologies, along with experience in data mapping and ETL processes. Collaboration with business and technology teams is key. This role requires on-site work 4 days a week, ensuring a hands-on approach to data infrastructure.

Qualifications

• Approximately 5 years of data engineering experience.
• Bachelor's Degree in Computer Science, Data Engineering, or related field.
• Industry background flexible - non-automotive engineers can succeed if able to adapt quickly.

Responsibilities

• Collaborate with business, technology, and AI/ML teams to define data requirements.
• Manage backend operations and scaling.
• Design and maintain cloud-native ETL pipelines.
• Troubleshoot and optimize data workflows.

Skills

Advanced Python

Advanced SQL

Apache Spark

Kafka

Cloud experience

Data mapping and cataloging

Event-driven pipeline design

Data warehouse design

CI/CD pipeline tools

Education

Bachelor's Degree in Computer Science

Job description

A leading technology services firm in Dearborn is seeking a Data Engineer to design and maintain data pipelines essential for AI initiatives. The ideal candidate will have strong expertise in Python, SQL, and cloud technologies, along with experience in data mapping and ETL processes. Collaboration with business and technology teams is key. This role requires on-site work 4 days a week, ensuring a hands-on approach to data infrastructure.