• Architect and build  robust ETLs and scalable data pipelines on Databricks and AWS.
• Optimize  high-throughput ingestion workflows for billions of time-series records, ensuring low latency and data integrity.
• Engineer  data validation frameworks and automated monitoring to proactively detect anomalies before they impact models.
• Drive cost-efficiency  by tuning Spark jobs and managing compute resources in a high-volume environment.
• Transform  raw IoT/telemetry signals into structured, enriched Feature Stores ready for Machine Learning production.
• Define  best practices for data engineering, CI/CD for data, and lakehouse architecture across the organization.

What You Bring

• Production Experience:  3+ years in Data Engineering with strong proficiency in Python, SQL, and PySpark.
• Big Data Architecture:  Proven track record working with distributed processing frameworks (Spark, Delta Lake) and cloud infrastructure (AWS preferred).
• Scale:  Experience handling high-volume datasets (TB scale or billions of rows); familiarity with time-series or IoT data is a strong advantage.
• Engineering Rigor:  Deep understanding of data structures, orchestration (Databricks Workflows), and software engineering best practices (Git, CI/CD).
• Problem Solving:  Ability to diagnose complex performance bottlenecks in distributed systems and implement cost-effective solutions.
• Ownership:  A self-starter mindset with the ability to take a vague requirement and deliver a deployed, production-ready pipeline.

Why Join Us

• Work directly with massive datasets and real production systems from day one.
• Accelerate your professional development with mentorship from experienced data and ML engineers.
• Gain hands-on expertise in Databricks, Spark, AWS, Delta Lake, and scalable data orchestration.
• Contribute to a mission that improves safety, reliability, and operational efficiency for fleets.
• Be part of a collaborative, innovative team where junior engineers can meaningfully shape solutions.
• Competitive compensation and a fast-moving environment that rewards learning and initiative.

Location:

 Herzeliya (Hybrid)

Type:

 Full-time

Who we are?

Questar Auto Technologies is a company at the forefront of the automotive industry, introducing innovative AI technology for predictive vehicle health & Driver behavior. We help our clients in the automotive sector, including automakers and fleet operators, to unlock the value of their vehicle data and make informed decision through insights delivered to them through our systems. Our solution combines cutting-edge AI-based analytics software, advanced data analytics, and extensive experience in the commercial vehicles industry telematics. By performing deep learning both onboard vehicles and in the cloud, Questar's technology can predict potential issues before they occur, enabling proactive management of maintenance, drivers, and mission, reducing TCO.

Questar system is deployed in 20 countries and some of the largest OEMs & Teir1 are part of the company customers.