Data Engineer

Via builds technology to transform transportation, providing AI-powered software and innovative solutions for modern public transit systems worldwide.
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
4+ years of experience
AI · Transportation

Description For Data Engineer

Via, a pioneering force in transportation technology, is seeking a Data Engineer to join their mission of revolutionizing how the world moves. Founded in 2012, Via has grown to power over 700 mobility deployments across 40+ countries, impacting millions of users globally.

As a Data Engineer, you'll be at the forefront of building and maintaining the core data infrastructure that powers Via's innovative transportation solutions. Working with cutting-edge technologies like Kubernetes, Airflow, and Kafka, you'll design and implement scalable data platforms and pipelines that process critical transportation data. Your work will directly impact tens of thousands of riders daily, contributing to more efficient and accessible public transportation systems.

The role offers an exciting opportunity to work with cloud-based solutions on AWS, manage Snowflake environments, and ensure system reliability through modern monitoring tools. You'll be part of a talented engineering team, collaborating across different departments to solve complex challenges in transportation technology.

The ideal candidate brings 4+ years of experience in both data engineering and software development, with strong Python skills and expertise in data streaming technologies. You'll thrive in this role if you're passionate about data engineering, ready to tackle challenges independently, and excited about contributing to environmental sustainability through better transportation solutions.

Via offers a competitive package including equity, comprehensive health benefits, and a flexible hybrid work environment in their Tel Aviv office. You'll join a global company that's not just building technology, but actively shaping the future of transportation through AI-powered solutions and innovative operations.

This is an opportunity to be part of a mission-driven company that's making a tangible impact on urban mobility, environmental sustainability, and access to essential services. Whether you're optimizing data processing costs or designing new data pipelines, your work will contribute to making cities greener and transportation more efficient for millions of people worldwide.

Last updated 5 days ago

Responsibilities For Data 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 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), Kubernetes, terraform
  • Experience with data warehousing technologies (Snowflake, Databricks, Redshift, BigQuery)
  • Excellent communication and strong analytical and problem-solving skills

Benefits For Data Engineer

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

Interested in this job?

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