Data Engineer

Job Title

Employees 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.