Data Engineer (Big Data)

TL;DR

Data Engineer (Big Data): Building and optimizing high-load backend services for a distributed data platform with an accent on API design, database performance, and scalability. Focus on microservices architecture, solving complex concurrency challenges, and ensuring system reliability under heavy traffic.

Location: Herzliya

Company

hirify.global is a global data-driven powerhouse building an analytical marketing platform for mobile apps.

What you will do

• Design and implement high-scale product features for hirify.global’s premium clients.
• Optimize scalable data pipelines and distributed processes to meet strict client SLAs.
• Ensure uncompromising data accuracy and performance across massive, complex datasets.
• Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

Requirements

• B.Sc. in Computer Science or an equivalent.
• 3+ years in Big Data Engineering (Backend experience is a plus).
• 1+ years of deep, hands-on experience with Spark (or equivalent).
• Strong programming skills (Ideally Scala) with a deep understanding of distributed programming paradigms.
• A natural obsession with high-scale problem solving and system optimization.
• A pragmatic, ownership-driven mindset.

Nice to have

• Expertise in Spark UI analysis and performance tuning.
• Advanced expertise in Scala.
• Experience with Airflow, EMR-Serverless.
• Experience with BigQuery as a high-performance serving layer.
• Backend experience in functional or concurrent languages (Scala, Go, or Clojure).
• Exposure to marketing measurement or AdTech.

Culture & Benefits

• Global company operating from 25 offices across 19 countries.
• Ensures equal opportunities for all employees and promotes the recruitment of diverse talents.
• Values and encourages curiosity, diversity, and innovation.
• Provides the team with the tools and resources they need to go All-In.