Senior AI Data Engineer

Description

Company Overview:

Cellebrite’s (Nasdaq: CLBT) mission is to enable its customers to protect and save lives, accelerate justice, and preserve privacy in communities around the world. Cellebrite is a global leader in Digital Intelligence solutions for the public and private sectors, empowering organizations to master the complexities of legally sanctioned digital investigations by streamlining intelligence processes. Trusted by thousands of leading agencies and companies in more than 140 countries, Cellebrite’s Digital Intelligence platform and solutions transform how customers collect, review, analyze and manage data in legally sanctioned investigations.

Position Overview:

We are assembling an elite, small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As a Senior Data Engineer, you will be the critical data backbone of our innovation engine, transforming raw data into the fuel that powers groundbreaking GenAI solutions, driving Cellebrite's digital intelligence capabilities to unprecedented heights.

You are not just a data engineer – you are a strategic enabler of GenAI innovation. Your primary mission is to:

• Prepare, structure, and optimize data for cutting-edge GenAI project exploration
• Design data infrastructures that support rapid GenAI prototype development
• Uncover unique data insights that can spark transformative AI project ideas
• Create flexible, robust data pipelines that accelerate GenAI research and development

Responsibilities: 

• You'll be working at the intersection of advanced data engineering and generative AI
• Your data solutions will directly enable the team's ability to experiment with and develop novel AI concepts
• Every data pipeline you design has the potential to unlock a breakthrough GenAI project
• Exploration and Innovation
• Conduct deep data exploration to identify potential GenAI application areas
• Work closely with AI researchers to understand data requirements for cutting-edge GenAI projects

Requirements

• 4+ years of progressive data engineering experience
• Degree in Computer Science, Data Science, or related field
• Demonstrated expertise in: Cloud platforms (AWS, Google Cloud, Azure)ת Big Data technologiesת Advanced SQL and NoSQL database systems
• Data pipeline development for AI/ML applications, performance optimization techniques
• Design data architectures for GenAI research
• Work with complex, multi-domain datasets
• Prepare and transform data for AI training
• Build scalable, flexible data infrastructure
• Expertise in cloud-based data platforms
• Develop automated data solutions for AI research

Technical Skill Requirements

• Expert-level SQL and database management
• Proficiency in Python, with strong data processing capabilities
• Experience in data warehousing and ETL processes
• Advanced knowledge of data modeling techniques
• Understanding of machine learning data preparation techniques
• Experience integrating with BigQuery – advantage 

Personal Characteristics