Job Title:
Senior Backend Engineer – Telematics Platform
Location:
Dearborn, MI
Job Type:
Contract
Expected Hours per Week:
40 hours per week
Schedule:
Monday–Friday, 9:00 AM – 5:00 PM, Hybrid.
Pay Range:
$79-82 per hour
What You’ll Do
- Design and build scalable backend services and APIs that process GPS, trip events, driver behavior, diagnostics, and sensor telemetry at fleet scale
- Develop real?time and batch data pipelines using Pub/Sub or Kafka and land data in BigQuery and operational stores
- Architect and optimize data access across PostgreSQL / Cloud SQL, BigQuery, Redis, Bigtable
- Implement data aggregation, enrichment, geo?spatial logic, and time?series rollups for reporting and analytics
- Build and enforce data contracts, schema evolution, and backward compatibility
- Integrate services with GCP infrastructure (GKE, serverless, scheduled jobs, event?driven systems)
- Instrument systems with logging, metrics, and tracing and support production SLAs/SLOs
- Apply security best practices for authorization, secrets management, and data privacy
- Partner with product, data, and platform teams on design reviews and architecture decisions
Required Skills & Experience
- 7+ years IT experience, 5+ years backend development
- Strong experience with Google Cloud Platform (GCP)
(GKE, Pub/Sub, BigQuery, Cloud SQL, IAM, Cloud Functions) - Experience with big data systems: BigQuery, Spark, Dataflow
- Backend development in Java, Kotlin, or Python
- Designing and building REST and/or gRPC APIs
- Experience with event?driven architectures and high?volume data streams
- Production mindset: observability, performance tuning, CI/CD, on?call support
Preferred / Nice to Have
- Vertex AI, BigQuery ML, Cloud Composer (Airflow)
- Redis, Bigtable, Kafka
- Kubernetes & Docker
- MLOps?adjacent data pipeline patterns
- Experience with telematics, IoT, fleet systems, or time?series data
Why Join?
- Work on large?scale, real?world data problems
- Influence platform architecture and long?term technical direction
- Collaborate with strong product, data science, and engineering teams
- High impact role supporting enterprise and commercial customers
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