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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Telematics - **Company:** N2 Services Inc - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Big Data, BigTable, BigQuery, Cloud Storage, Cluster Analysis, Computer Programming, Continuous Integration, Data Systems, Data Warehousing, Distributed Systems, Data Flow Control, Global Positioning Systems (GPS), Apache Hadoop, Identity and Access Management, Java Virtual Machine (JVM), Python (Programming Language), PostgreSQL, Machine Learning, OAuth, Redis, Tensorflow, Software Construction, Software Engineering, Software Systems, SQL Databases, Management of Software Versions, Data Processing, Google Cloud, Test-Driven Development (TDD), Pytorch, Database Optimization, Apache Spark, Software Security, Build Server, Amazon Virtual Private Cloud (VPC), Backend, Rate Limiting, Kotlin, Data Lakes, Kubernetes, Storage Technologies, Information Technology, Google Cloud Functions, Integration Frameworks, Apache Kafka, Graphql, Data Management, Machine Learning Operations, Tools for Reporting, Api Design, Cloud Optimization, Restful APIs, Looker Analytics, Data Pipelines, Docker - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/3b9d64df-d38a-4204-a42a-1748c17a33ee ## About the Role The ideal candidate will have strong experience with Google Cloud Platform, Big Data, BigQuery, backend/API development, and AI/ML, along with a solid background in designing scalable real-time and batch data pipelines., * Bachelor's degree required. * 7+ years of IT experience with at least 5+ years of software development experience. * Strong hands-on experience with Google Cloud Platform for 3+ years, including services such as: + Compute Engine + Cloud Storage + IAM + VPC Networking + Cloud Composer * 3+ years of Big Data experience with technologies such as: + Apache Spark + Kafka + Hadoop + Dataflow + Google Pub/Sub * Strong understanding of distributed computing, data partitioning, data lakes, and data warehouse architectures. * 3+ years of backend/API development experience with RESTful APIs, GraphQL, or gRPC. * Experience with API security including OAuth2, API keys, authentication/authorization, versioning, and rate limiting. * 2+ years of hands-on BigQuery experience, including optimized SQL, partitioning, clustering, and query/cost optimization. * 1+ year of AI/ML or expert-system experience, with familiarity with technologies such as: + TensorFlow + PyTorch + Vertex AI * Strong programming experience in Java, Kotlin, Python, or another JVM/backend language. * Experience designing and supporting production-grade, scalable backend/data systems., * Experience with telematics, connected vehicles, automotive, IoT, fleet management, or vehicle data platforms. * Experience with GKE/Kubernetes, Docker, Cloud Functions, Pub/Sub, and Cloud Build/CI/CD. * Experience with PostgreSQL, Redis, Bigtable, Kafka, or Pub/Sub. * Experience integrating BigQuery with Looker, Data Studio, or other BI/reporting platforms. * Knowledge of MLOps and data pipeline patterns. * Experience with cloud cost optimization / FinOps. * Strong database performance tuning experience. ## Description We are seeking a Senior Backend Data Engineer to design, build, and operate high-throughput backend systems and data platforms supporting telematics and connected vehicle applications., * Design and develop scalable, high-performance backend services and APIs that process large volumes of telematics and connected vehicle data. * Build and maintain real-time and batch data pipelines for high-volume vehicle event streams. * Work with data such as GPS, trip events, driver behavior, vehicle diagnostics, and sensor telemetry. * Design and optimize data processing and storage architectures using distributed computing technologies. * Develop and optimize workloads on Google Cloud Platform (Google Cloud Platform). * Design and optimize BigQuery datasets, SQL queries, partitioning, and clustering for performance and cost efficiency. * Develop secure and scalable RESTful APIs, GraphQL, or gRPC services for internal and third-party integrations. * Implement API security, authentication/authorization, versioning, and rate limiting. * Build, train, and deploy machine learning models or rule-based systems supporting decision automation. * Collaborate with engineering, data science, product, and business teams to deliver reliable data-driven solutions. * Troubleshoot production performance, reliability, security, and cost-related issues. * Apply software engineering best practices including TDD, CI/CD, database performance tuning, and API versioning. ## Related Videos - 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