About Cellebrite:
Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite.
Position Overview:
We are looking for a Senior Data Engineer to join our Data Platform team and help build a secure, scalable Data Lake powering global search and analytics.
This is a hands-on role combining data engineering and system design, working with large-scale, complex datasets in a production environment.
What You’ll Do & Own:
- Build and maintain end-to-end data pipelines (batch & streaming)
- Design and improve our Data Lake / Lakehouse architecture
- Work with large-scale, complex datasets and optimize processing performance
- Structure data to support search and indexing systems
- Ensure data quality, reliability, and scalability in production
- Take ownership of features—from design to deployment
- Collaborate closely with backend, data, and product teams.
- Design and implement scalable data pipelines using Spark and AWS
- Develop efficient data ingestion and transformation processes
- Support high-performance data access and querying
- Contribute to architecture and technical decisions
- Monitor, troubleshoot, and optimize production pipelines.
Technical Expertise (Must Have):
- Strong hands-on experience with Spark / PySpark
- Solid experience with AWS data services (S3, EMR, Glue, Athena, Lambda, Kinesis)
- Proven experience building and maintaining data pipelines in production
- Experience working with large-scale or distributed systems
- Strong Python skills.
Nice to Have:
- Experience with Data Lakes / Lakehouse architectures (e.g., Iceberg)
- Experience with streaming pipelines, CDC, or real-time processing
- Familiarity with search technologies (Elasticsearch / OpenSearch)
- Experience with Infrastructure as Code (Terraform / CDK)
- Background in high-scale or regulated environments.
Mindset:
- Strong ownership and accountability for production systems
- Ability to design scalable and reliable solutions
- Pragmatic approach to problem-solving
- Comfortable working in a cross-functional environment.
What We Offer:
- Competitive compensation and benefits
- Opportunity to work on large-scale, real-world systems
- High ownership and meaningful technical challenges
- Collaborative, experienced team
Location: Petah Tikva, Israel (Hybrid)
Top Skills
What We Do
Cellebrite is the leader in digital intelligence and investigative analytics, partnering with public and private organizations to transform how they manage data in investigations to accelerate justice and ensure data security.
