Data Engineer

🚀 Data Engineer

Moonshot Marketing is seeking a highly skilled Data Engineer to join our data & engineering team. In this role, you’ll design, build, and optimize scalable data pipelines and infrastructure that power decision-making across the company. You’ll take ownership of end-to-end data solutions — from ingestion and transformation to storage and integration — and play a key role in shaping our next generation of data systems in a fast-paced, global environment.

🌟 Why You’ll Love Working at Moonshot

Global Impact: Build and maintain data systems that serve high-scale, international operations.

Real Ownership: Lead core data infrastructures with autonomy and significant technical influence.

Top-of-Market Compensation: Competitive salary and strong opportunities for technical growth.

Flexible Hybrid Culture: 2 days a week from our sea-view Tel Aviv HQ, the rest from wherever you do your best work.

Perks & Benefits: 6 extended long weekends a year, cutting-edge gear, vibrant happy hours, exclusive company events, and a collaborative, no-ego team.

🌕 About Moonshot

Moonshot is a leading Ad Tech company on a mission to help people make smarter, faster, and more confident purchasing decisions.

Through advanced data engineering, AI-driven tools, and deep market insights, our technology connects millions of users with the most relevant products, services, and opportunities — at scale.

Behind the scenes, we’re a performance-obsessed team fueled by innovation, transparency, and real impact.

Requirements:

✅ What We’re Looking For

• 5+ years of experience in data engineering or related technical roles.
• Strong programming skills in at least one language: Python, Go, or Java - Must.
• High proficiency in SQL as a primary query and data-management language - Must.
• Proven experience building and maintaining scalable data pipelines, ETL processes, and big-data workflows.
• Hands-on experience with cloud platforms, especially AWS (S3, Lambda, DynamoDB, SQS, CloudFormation).
• Experience with modern data stacks and tools such as Snowflake, DynamoDB, dbt, ArgoFlow, ArgoEvent.
• Familiarity with microservices architecture, CI/CD practices, and DevOps tools such as Docker, Kubernetes, Git, ArgoCD.
• Strong analytical and problem-solving abilities.
• Excellent communication skills and the ability to collaborate effectively across teams.
• Innovative mindset with a focus on scalability, reliability, and performance.
  
  

• B.Sc. in Computer Science, Mathematics, or related fields.
• Knowledge of advanced statistical methods and algorithms.
• Experience with data visualization tools (e.g., QuickSight).
• Background in building and maintaining logging/monitoring systems such as Elasticsearch clusters.
  
  

• A hands-on builder who understands systems end-to-end and enjoys working through complex data challenges.
• A proactive problem-solver with strong ownership and a drive for continuous improvement.
• A collaborative team player who brings clarity, structure, and initiative into fast-moving environments.
• Someone who thrives on scalability, performance, and creating systems that support high-impact business decisions.
  
  

• Design, develop, and maintain robust, scalable data pipelines and ETL processes.
• Define and implement data architectures and infrastructures that support analytics, BI, and product needs.
• Automate client data ingestion and transformation workflows to ensure quality and consistency.
• Manage and optimize cloud-based databases, tables, and large-scale storage systems.
• Build APIs for seamless integration with internal and external data sources.
• Implement and maintain logging, monitoring, and visibility tools (e.g., Elasticsearch).
• Collaborate with engineers, analysts, and PMs to deliver end-to-end data solutions.
• Ensure data security, integrity, reliability, and compliance with best engineering practices.
• Contribute to high-scale, high-impact projects that power Moonshot’s global operation.