ECS is seeking a Data Engineer to design powerful data pipelines, operationalize ML models, and jump into DevSecOps work when needed to turn data into real-time intelligence for advanced AI-driven cybersecurity solutions
Requirements
- Cloud Expertise: 5+ years with AWS/GCP/Azure (must include S3, Lambda, SQS, CloudWatch, IAM; SageMaker a plus)
- Programming: 3+ years with Python in data engineering/automation
- Proven experience building and maintaining production-grade data pipelines
- Strong DevSecOps fundamentals: Git workflows, Kubernetes, Terraform, Ansible, Linux
- Solid understanding of cybersecurity basics and secure data handling
Responsibilities
- Design, build, and maintain ETL/ELT pipelines on AWS (S3, Glue, Redshift, Lambda, SQS, CloudWatch, SageMaker) or equivalent GCP/Azure services
- Build and optimize data models, warehouses, and analytics layers (Redshift, Aurora, Presto, Trino)
- Integrate REST APIs and streaming data sources
- Support ML pipelines and AI models for predictive security analytics
- Implement data governance, compliance, and security controls
- Manage IaC with Terraform (community + custom modules)
- Operate and deploy Kubernetes workloads (manifests, operators, Helm)
Other
- Collaborate with data scientists, cloud engineers, and cybersecurity teams
- Degree requirements not specified
- Travel requirements not specified
- Visa requirements not specified
- General Description of Benefits available at https://ecstech.com/careers/benefits/
