DevJobs

Senior Data Engineer

Overview
Skills
  • Python Python
  • Java Java
  • SQL SQL
  • Go Go
  • DynamoDB DynamoDB
  • Elasticsearch Elasticsearch
  • Microservices Microservices
  • Git Git
  • Snowflake Snowflake
  • AWS AWS
  • Docker Docker
  • Kubernetes Kubernetes
  • S3
  • ArgoFlow
  • SQS
  • RAG
  • Vector Databases
  • LLMs
  • Lambda
  • ETL
  • ELT
  • dbt
  • CloudFormation
  • ArgoCD
  • Milvus
  • Pinecone
  • QuickSight
  • Weaviate

🚀 Senior Data Engineer

Moonshot Marketing is seeking a visionary Senior Data Engineer to join our data & engineering team. In this role, you won’t just build pipelines—you’ll architect the backbone of our intelligence layer. You will design and optimize scalable data infrastructure that powers both traditional analytics and our next generation of AI-driven agents.

You’ll take full ownership of end-to-end data solutions, playing a decisive role in how we ingest, transform, and leverage data to drive autonomous decision-making 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.


What We’re Looking For

  • 5+ years of experience in data engineering, with a proven track record of leading complex projects.
  • Strong programming skills in at least one language: Python (highly preferred for AI workflows), Go, or Java.
  • High proficiency in SQL as a primary query and data-management language.
  • AI & Agentic Systems: Hands-on experience building data pipelines for LLMs, including RAG (Retrieval-Augmented Generation) architectures and orchestrating AI agents.
  • Big Data Expertise: Proven experience building and maintaining scalable ETL/ELT processes and big-data workflows.
  • Cloud Mastery: Deep experience with AWS (S3, Lambda, DynamoDB, SQS, CloudFormation).
  • Modern Data Stack: Expertise in Snowflake, dbt, ArgoFlow, and Vector Databases (e.g., Pinecone, Milvus, or Weaviate).
  • Infrastructure: Familiarity with microservices, CI/CD, and DevOps tools (Docker, Kubernetes, Git, ArgoCD).
  • Leadership: Ability to mentor junior engineers and advocate for engineering best practices.


Advantages:

  • B.Sc./M.Sc. in Computer Science, Mathematics, or related fields.
  • Experience with data visualization (QuickSight) and logging systems (Elasticsearch).


👥 Who You Are

  • A Senior Architect: You don't just write code; you design systems that are resilient, scalable, and future-proof.
  • An AI Enthusiast: You understand that great AI is built on great data and are excited about the "Agentic" shift in technology.
  • A Proactive Problem-Solver: You take extreme ownership and bring structure to fast-moving, ambiguous environments.
  • A Collaborative Leader: You thrive on helping your teammates grow and bringing clarity to cross-functional projects.



🧰 What You’ll Be Doing?

  • Architect & Build: Design and maintain robust, scalable data pipelines that support both BI and AI Agent workflows.
  • AI Data Strategy: Develop and optimize data retrieval systems for LLMs, ensuring high-quality context for our autonomous agents.
  • Lead Infrastructure: Define the next generation of our data architecture, focusing on reliability and extreme scalability.
  • Automate Everything: Streamline data ingestion and transformation to ensure 100% data integrity for downstream AI models.
  • Optimize Storage: Manage and optimize cloud-based databases and large-scale storage systems for performance and cost.
  • Collaborate: Work closely with AI researchers, PMs, and analysts to deliver end-to-end data solutions that power global operations.
  • Mentor: Set the bar for code quality, documentation, and engineering excellence within the 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 agents, and deep market insights, our technology connects millions of users with the most relevant opportunities at scale.

Ready to launch your next career Moonshot?

Moonshot Marketing