Senior Data Engineer (AWS)

TL;DR

Senior Data Engineer (AWS): Designing and building large-scale data platforms and backend services for a digital investigation platform with an accent on scalable data pipelines and cloud-native AWS architectures. Focus on developing batch and streaming ETL/ELT pipelines and optimizing performance and reliability of high-performance data systems.

Location: Petah Tikva, Israel

Company

hirify.global is a Nasdaq-listed company providing AI-powered digital investigation platforms to public safety and intelligence agencies worldwide.

What you will do

• Design and maintain scalable, secure data platforms and backend services on AWS.
• Build batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS.
• Optimize performance, reliability, and observability of data pipelines and backend services.
• Collaborate with ML, DevOps, and Product teams to deliver data-powered solutions.
• Implement AWS best practices for security, compliance, and auditability using IAM and encryption.
• Drive technical excellence and code quality within the engineering team.

Requirements

• 8+ years of experience in Data Engineering or Backend Development in AWS cloud-native environments.
• Strong hands-on experience writing Spark jobs (PySpark) and running workloads on EMR and/or Glue.
• Proven ability to design and implement scalable backend services and data pipelines.
• Deep understanding of data modeling, pipeline optimization, and distributed systems.
• Experience with Infrastructure as Code (Terraform/CDK/SAM) and automated deployment.
• Strong debugging, testing, and performance-tuning skills in agile environments.

Nice to have

• AWS certifications (Solutions Architect, Data Engineer).
• Experience with ML pipelines or AI-driven analytics.
• Familiarity with data governance, self-service data platforms, or data mesh architectures.
• Experience with PostgreSQL, DynamoDB, or MongoDB.
• Background in cybersecurity, law enforcement, or other regulated industries.