Description
🚀 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.
Advantages:
- 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.
👥 Who You Are
- 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.
Responsibilities
What You’ll Be Doing
- 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.
Required Skills
None
Bonus Skills & Experience:
None
