Software & Data Engineer
Designer Fund is a venture capital firm that invests in early-stage tech companies using design to improve health, sustainability, or prosperity for people. It backs founding teams, particularly those with design backgrounds, across sectors like fintech, healthcare, climate tech, and developer tools.
About Designer Fund
Designer Fund is an early-stage venture capital firm that invests in tech companies leveraging design to drive positive outcomes in health, sustainability, and financial prosperity. Its portfolio spans a wide range of sectors including financial infrastructure (Stripe), preventative health (Omada), collaborative tools (Notion), developer tools (Netlify), product management (Linear), payroll and benefits (Gusto), design tools (Framer), and healthcare infrastructure (Commure), among dozens of other companies across fintech, climate tech, healthcare, EdTech, and AI. The firm also runs 'Designer Founders,' a community and platform highlighting designers who have gone on to found and lead companies, reflecting its focus on backing design-driven founders and design-centric startups from early stages through growth and acquisition.
Skills
About the Role
You will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how Via understands and improves its service for cities and riders around the world.
Requirements
- 5+ years as a Data Engineer with production-grade Python and SQL
- Solid data warehousing experience (e.g., Snowflake, Databricks, Redshift, BigQuery)
- Hands-on AWS familiarity: Lambda, S3, SNS/SQS, Firehose, and related lake/ingestion patterns
- Platform mindset: reliability, observability, and systematic production debugging
- Terraform/IaC skills: read, modify, and ship changes for EKS-based deployments
- AI tooling fluency: Cursor/Claude as a primary workflow, can navigate unfamiliar codebases with AI assistance
- Experienced with modern data stack tooling; DBT, Airflow, and Iceberg storage are a significant advantage, as is familiarity with AWS big data services and BI tools such as Looker or Tableau
- Passionate about data and genuinely curious about technology
- A strong collaborator who thrives working across engineering and business teams
- Self-driven and comfortable navigating complexity independently
Responsibilities
- Design and build highly scalable, reliable data pipelines that serve clean, structured data across engineering, product, and business teams
- Own the architecture of complex data models that translate messy, real-world transportation data into fast, efficient, and scalable systems
- Lead end-to-end development across the full data lifecycle from architecture and design through deployment, monitoring, and continuous improvement
- Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders
- Collaborate with engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions
- Contribute to the adoption and evolution of the modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena
Benefits
- Competitive compensation package which includes base salary and equity
- Health insurance with a discount for family members
- Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station
- Freefit and other sports lessons
- 10bis/Cibus
- happy hours
- team events
- communities