GCP Data Engineer

Stefanini Group • Dearborn, MI

19h • Onsite

About The Position

Stefanini Group is hiring a GCP Data Engineer in Dearborn, MI. This role is responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. The engineer will work at the intersection of distributed systems, data engineering, and API development, delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers.

Requirements

• GCP
• Big Data
• BigQuery
• Artificial Intelligence & Expert Systems
• API Skills
• 7+ years of experience in IT
• 5+ years of experience in software development
• Google Cloud Platform (GCP) Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions.
• Big Data Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery.
• Data Warehousing Experience designing and maintaining data warehouse solutions such as BigQuery, Snowflake, or Redshift.
• Artificial Intelligence and Expert Systems Experience developing or integrating AI/ML models and rule-based expert systems.
• API Development Experience designing, building, and consuming RESTful or gRPC APIs.

Nice To Haves

• Google Cloud Platform Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer / Airflow, BigQuery ML
• Using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.
• Languages: Kotlin, Java, Python, or equivalent JVM/backend language
• Frameworks: Spring Boot, gRPC, REST API design
• Data Technologies: BigQuery, PostgreSQL, Redis, Bigtable, Kafka, or Pub/Sub
• Infrastructure: GCP or equivalent, Docker, Kubernetes, CI/CD pipelines
• Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, and API versioning

Responsibilities

• Design and develop scalable, high-performance backend services and APIs that process and expose telematics data, including: GPS Trip events, Driver behavior, Vehicle diagnostics, Sensor telemetry
• Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems such as Pub/Sub and Kafka into data warehouses and operational stores.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior