- Professional
ECS is seeking a Data Engineer to work remotely.
Position Summary:
We’re building advanced AI-driven cybersecurity solutions, and we are looking for a Data Engineer who can design powerful data pipelines, operationalize ML models, and jump into DevSecOps work when needed. This is a hands-on role where you’ll collaborate with data scientists, cloud engineers, and cybersecurity teams to turn data into real-time intelligence.
What You’ll Do
- Data Engineering & AI
- 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.
- DevSecOps & Cloud Engineering
- Manage IaC with Terraform (community + custom modules).
- Automate deployments/configurations with Ansible.
- Operate and deploy Kubernetes workloads (manifests, operators, Helm).
- Maintain CI/CD pipelines (GitHub, GitLab, or Jenkins).
- Apply security-first principles in cloud architecture and automation.
Salary Range: $100,000 - $170,000
General Description of Benefits
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