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M
modis
GCP Data Engineer
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Based on Michigan data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$107,834 / year median in Michigan
+13% projected growth
Job Description
Akkodis is seeking an GCP Data Engineer for a Contract with a client in Dearborn, MI (Hybrid). The ideal candidate will design and develop scalable backend services and APIs to process high-volume telematics data from connected vehicle fleets, ensuring reliable and low-latency data delivery.
Sharma@ akkodisgroup.com.
Rate Range:
$55/Hour to $65/Hour; The rate may be negotiable based on experience, education, geographic location, and other factors. GCP Data Engineer Job Responsibilities include: Design, develop, and maintain scalable backend services and REST/gRPC APIs to process and serve large-scale telematics data from connected vehicle fleets. Build and optimize real-time and batch data pipelines using GCP services, Kafka/Pub/Sub, BigQuery, and other distributed data processing technologies. Develop high-performance data ingestion frameworks for GPS, trip events, driver behavior, vehicle diagnostics, and sensor telemetry data. Collaborate with cross-functional teams to design reliable, low-latency, and highly available cloud-native solutions that support fleet intelligence products. Implement API security, versioning, monitoring, and performance tuning while ensuring adherence to best practices for scalability and maintainability. Leverage AI/ML and big data technologies to support predictive analytics, automation, and data-driven decision-making across enterprise fleet management platforms.Required Qualifications:
Bachelor's or master's degree in computer science, Software Engineering, Information Technology, Data Engineering, or a related technical field. 7+ years of overall IT experience, including 5+ years of hands-on software development experience in backend systems, data engineering, or cloud-native application development. Strong experience designing and deploying scalable cloud solutions on Google Cloud Platform (GCP), including BigQuery, Pub/Sub, Cloud Storage, Compute Engine, Kubernetes, and CI/CD pipelines. Proven expertise building high-volume data pipelines and secure APIs using technologies such as Kafka, BigQuery, Spring Boot, Java/Kotlin/Python, REST/gRPC, and distributed data processing frameworks. If you are interested in this role, then please clickAPPLY NOW.
For other opportunities available at Akkodis, or any questions, feel free to contact me at Gagan.Sharma@ akkodisgroup.com.