דרושים Data Engineer בתל אביב

**Rekor Systems (NASDAQ: REKR) is the global authority in Roadside Intelligence. We fuse computer vision, connected vehicles, and third-party mobility data into real-time insights that make transportation safer, smarter, and more efficient. Our customers include public safety agencies, urban planners, toll operators, and traffic management centers around the world.

**Data Engineer

**Rekor processes tens of terabytes of data and billions of events daily, and we’re looking for an experienced Data Engineer to join our Global Data & Analytics Organization. As a data engineer, you’ll design and maintain streaming and batch data pipelines, ensuring clean, reliable, high-quality data at scale while collaborating with Product, Engineering, and Data Science teams. The ideal candidate thrives in fast-changing environments, takes initiative, and values collaboration, candor, and continuous improvement.

Key Responsibilities

• Champion Data culture and practices, enabling the Team to build better, more reliable, automated and secure data products faster.
• Design and implement streaming data pipelines and batch data pipelines.
• Implement data quality and integrity monitoring to proactively identify and fix data issues.
• Design and implement solutions to support data lake and data warehousing.
• Work across diverse teams in Product Management, Software, Hardware, DevOps, MLOps, Data Science and Data Governance to ensure that the data infrastructure meets solution requirements.
• Collaboratively determine how best to manage data under business, technical, compliance, privacy and ethical constraints.
• Work with other data SMEs and stakeholders to ensure Rekor’s data assets are FAIR (Findable, Accessible, Interoperable, Reusable).
• Contribute to an open, creative and collaborative culture where everyone feels accountable for shaping the future of the Team and of Rekor.
• Contribute to the adoption and integration of Generative AI tools and practices to enhance developer productivity and code quality.

Requirements

• BS/MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of experience in data engineering, data infrastructure, or backend development.
• Proven experience designing, building, and maintaining cloud-based data pipelines and internal data tools.
• Must- Strong hands-on experience with AWS services (e.g., S3, ECS/EKS, Lambda, EventBridge, Sagemaker, Athena).
• General understanding of running in Kubernetes environment (deployment, scaling, monitoring).
• Must- Proficiency in Python (data workflows and automation).
• Experience with databases such as PostgreSQL, Redis, or MongoDB.
• Experience with messaging and streaming systems (Kafka, Kinesis, or similar).
• Solid understanding of data engineering concepts — data modeling, ETL/ELT, data quality, and observability.
• Familiarity with system design and software engineering best practices.

Preferred Qualifications

• Experience with Infrastructure as Code (Terraform).
• Exposure to CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
• Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog).
• Experience with data orchestration or workflow tools (Airflow, Argo).
• Knowledge of container build and deployment best practices (Docker, Helm).
• Background in system performance optimization and cost-efficient cloud design.
• Kotlin (backend or tool development).

**Job Location:

**Tel-Aviv, Israel