Data Engineer

Backend Systems EngineerEmployees in this job function are responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. They 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.Required Skills & Qualifications:Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions.Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery.Experience developing or integrating AI/ML models and rule-based expert systems.Experience designing, building, and consuming RESTful or gRPC APIs.Prior work experience at client or in client's Industry.Applicants must be able to work directly for Artech on W2.Preferred Skills & Qualifications:Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML.Experience with Kotlin, Java, Python, or equivalent JVM/backend language.Experience with frameworks like Spring Boot, gRPC, REST API design.Day-to-Day Responsibilities:Design and develop scalable, high-performance backend services and APIs that process and expose telematics data at fleet scale.Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems into data warehouses and operational stores.Architect and optimize data access layers across heterogeneous storage systems.Collaborate with data engineers and analysts to design stored procedures, views, and query patterns in analytical databases.Implement data aggregation, transformation, and enrichment logic to produce accurate, consistent reporting outputs.