Data Infrastructure Engineer

Via builds technology that transforms transportation, providing solutions to digitize and automate transit networks 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 and solutions 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 sustainable urban transportation. You'll be responsible for designing and maintaining data pipelines, managing cloud infrastructure on AWS, and optimizing Snowflake environments. The role requires strong Python skills and experience with modern data streaming and warehousing technologies.

Via offers an attractive compensation package including equity options, comprehensive health benefits, and a flexible hybrid work environment in their Tel Aviv office. The company's mission focuses on creating efficient public transportation systems that increase access to essential services. As part of a growing global team, you'll have significant opportunities for career development while working on projects that directly impact urban mobility and sustainability.

The ideal candidate combines technical expertise with strong problem-solving abilities and communication skills. You'll be working in a collaborative environment that values innovation and continuous learning. Via's culture emphasizes both professional growth and work-life balance, with various perks including sports activities, team events, and comprehensive benefits.

Last updated a day ago

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
  • Solid background working with data warehousing technologies
  • Excellent communication and strong analytical and problem-solving skills

Benefits For Data Infrastructure Engineer

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

Interested in this job?

Jobs Related To Via Data Infrastructure Engineer

Data Infrastructure Engineer

Data Infrastructure Engineer position at Via, building scalable data platforms and solutions using Python, Kubernetes, and AWS to transform global transportation systems.

Business Intelligence Engineer, Amazon Last Mile

Business Intelligence Engineer role at Amazon Last Mile focusing on data analytics and optimization of delivery network operations through advanced analytics and cross-functional collaboration.

Data Engineer, Amazon Robotics - Robotic Storage Tech

Lead data engineering for Amazon Robotics' storage analytics team, building scalable data architectures and ETL pipelines using AWS technologies to optimize robotic warehouse operations.

Data Engineer (3-5 Years)

Mid-level Data Engineer position at Fam, India's leading youth-focused fintech, requiring 3-5 years experience in building scalable data pipelines and real-time analytics systems.

Data Engineer

Data Engineer position at Apply Digital, working on cloud-native data pipelines and digital transformation projects for global brands like Kraft Heinz.