Data Engineer

Roundforest, one of the world's most impactful shopping recommendation companies, is searching for a talented Data Engineer to join our innovative team. For the past decade, we've served tens of millions of users globally, and we're looking for a passionate individual to help us continue our journey of making an impact.

What makes Roundforest and this role unique?

At Roundforest:

• We value talent and grit above all else.
• We believe in sharing our success directly with our employees.
• We operate in agile, high-paced teams to drive innovation.
• We give our people full ownership to test, build, and scale ideas that drive real business impact.
  
  

• Build and operate data pipelines on GCP using Cloud Workflows, Cloud Functions, Cloud Scheduler, and BigQuery.
• Create, Transform and Manage Datasets (Python, DBT,..)
• Design and implement API integrations to pull data from affiliate networks, ad platforms, and internal services.
• Ensure pipeline reliability, observability (monitoring, alerting, SLA management), and scalability.
  
  

• Implement tests, freshness checks, and anomaly detection across all critical models.
• Lead incident triage and root-cause analysis when data issues arise; build systems that catch problems before stakeholders do.
• Maintain clear documentation of data contracts, schema definitions, and transformation logic.
  
  

• Work hand-in-hand with Data Scientists building ML models — ensuring feature tables, training datasets, and inference pipelines are clean and reproducible.
• Build the data layer that feeds ML model training and evaluation, including feature stores and labeled datasets.
  
  

• 3–5+ years of Data Engineering or Backend Engineering experience with clear delivery in production systems.
• Bachelor's (or higher) in Computer Science, Engineering, Mathematics, or a quantitative field (or equivalent background).
• Strong Python skills: writing production-grade ETL/pipeline code, not just scripts.
• SQL proficiency: complex window functions, CTEs, query optimization, and BigQuery-flavored SQL.
• dbt: modeling patterns, incremental strategies, testing, and documentation.
• GCP: hands-on experience with BigQuery, Cloud Functions, Cloud Workflows, or Cloud Scheduler (or equivalent cloud stack with willingness to ramp up quickly).
• API integrations: building robust data ingestion from REST APIs with retries, pagination, and error handling.
• Data quality mindset: you think about freshness, schema drift, nulls, and SLA before you're asked.
  
  

• Experience with affiliate marketing data (Amazon Associates, CJ, Impact, etc.) or ad platform APIs (Meta, Google Ads).
• Familiarity with ML pipelines: feature engineering, training data prep, or serving infrastructure.
• Event-driven architectures: Pub/Sub, Cloud Run, or equivalent.
• Node.js: light scripting or serverless functions (our codebase is primarily Python, with occasional Node).
• Version control and CI/CD: Git workflows, automated testing, and deployment pipelines.
  
  

• Tel Aviv‑Yafo (hybrid).
• We're a bootstrapped, profitable company that moves fast without waiting for investor approvals. If this sounds like you, we'd love to meet. Apply and help us build the data infrastructure that powers shopping decisions for millions.