Data Infrastructure Engineer

Via builds technology that transforms transportation, providing AI-powered software and innovative technology for public transit systems worldwide.
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
4+ years of experience
AI · Enterprise SaaS · Travel

Description For Data Infrastructure Engineer

Via is revolutionizing global transportation through innovative technology solutions. As a Data Infrastructure Engineer, you'll join a dynamic team responsible for core data infrastructure, working with cutting-edge technologies like Kubernetes, Airflow, and Kafka. The role combines software engineering and data engineering expertise, requiring 4+ years of experience in both fields. You'll be instrumental in building scalable data platforms that impact millions of users across 700+ mobility deployments in 40+ countries.

The position offers a unique opportunity to work on complex technical challenges while contributing to environmental sustainability through improved transportation systems. You'll be responsible for designing and maintaining data pipelines, managing cloud solutions on AWS, and optimizing system performance. The role requires strong Python skills and experience with modern data warehousing technologies like Snowflake.

Via offers an attractive compensation package including equity options, health benefits, and a flexible hybrid work environment in their Tel Aviv office. The company's culture emphasizes professional growth, collaboration, and work-life balance with various perks like sports lessons and team events. This role is perfect for a data engineering professional who wants to combine technical expertise with meaningful impact on urban mobility and sustainability.

Founded in 2012, Via has grown into a global leader in transportation technology, serving millions of users and partnering with transit authorities worldwide. The company's mission focuses on creating efficient, accessible public transportation systems that improve access to essential services. This role offers the opportunity to work with world-class engineers and data scientists while contributing to transformative transportation solutions.

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Responsibilities For Data Infrastructure Engineer

  • Design, build, and maintain scalable data platforms, pipelines, and solutions for data ingestion, processing and orchestration
  • Develop and manage cloud-based data solutions on AWS using Infrastructure as Code
  • Manage Snowflake environments, including database architecture, resource provisioning, and access control
  • Ensure system reliability and observability with monitoring, logging, and alerting tools
  • Optimize storage, compute, and data processing costs and performance

Requirements For Data Infrastructure Engineer

Python
Kubernetes
Kafka
  • BSc. Computer Science, Engineering or similar
  • Minimum of 4 years of professional experience in data engineering
  • Minimum of 4 years of professional experience in backend or software development
  • Proficient in Python
  • Experience with Data streaming, Kafka, Airflow, cloud platforms (AWS), k8s, terraform
  • Experience with data warehousing technologies (Snowflake, Databricks, Redshift, BigQuery)
  • Excellent communication and strong analytical and problem-solving skills

Benefits For Data Infrastructure Engineer

Medical Insurance
Equity
  • Competitive compensation package with base salary and stock options
  • Health insurance with family member discounts
  • Hybrid work model
  • Office in heart of TLV, near light rail and train station
  • Career development opportunities
  • Freefit and sports lessons
  • 10bis/Cibus food benefits
  • Team events and happy hours

Interested in this job?

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