Datascience platform and Devops Engineer
Data Science Platform & DevOps Engineer
Location: Juno Beach, FL
Experience: 8+ Years
Employment Type: Contract
Workplace Type: On-site
Visa: No OPT/CPT/GC/GC EAD.
JOB SUMMARY:
We are looking for an experienced Data Science Platform & DevOps Engineer to support the development, deployment, automation, and production operations of data-oriented applications and cloud platforms. The ideal candidate will have strong hands-on Python development experience along with expertise in GitHub, GitHub Actions, CI/CD, Infrastructure as Code, cloud technologies, automated testing, deployment validation, monitoring, and production support.
KEY RESPONSIBILITIES:
- Develop and maintain data-oriented applications using Python, APIs, packages, testing frameworks, and dependency management.
- Build, maintain, and improve CI/CD pipelines using GitHub and GitHub Actions.
- Implement pull-request controls, code-quality practices, and release automation.
- Automate infrastructure provisioning and environment management using Infrastructure-as-Code tools such as AWS CDK, Terraform, CloudFormation, or comparable technologies.
- Integrate analytics applications with cloud storage, databases, query services, semantic layers, and reporting tools.
- Develop and maintain automated testing and deployment validation processes.
- Manage development, test, and production environments.
- Monitor applications and infrastructure and troubleshoot technical and production issues.
- Provide production support and help improve platform reliability, scalability, and performance.
- Create and maintain technical documentation for applications, infrastructure, deployment processes, and operational procedures.
- Collaborate with engineering, data, DevOps, and business stakeholders to deliver reliable solutions.
REQUIRED QUALIFICATIONS:
- 5+ years of experience in software engineering, data engineering, data science platforms, or DevOps delivery.
- Strong hands-on Python development experience.
- Experience with data-oriented applications, APIs, Python packages, testing frameworks, and dependency management.
- Hands-on experience with GitHub and GitHub Actions.
- Strong experience with CI/CD pipelines, pull-request controls, and release automation.
- Experience with AWS CDK, Terraform, CloudFormation, or comparable Infrastructure-as-Code tools.
- Experience integrating analytics applications with cloud storage, databases, query services, semantic layers, or reporting tools.
- Experience with automated testing, deployment validation, environment management, monitoring, and production support.
- Strong troubleshooting and problem-solving skills.
- Excellent communication and technical documentation skills.
- Strong stakeholder collaboration skills.
PREFERRED SKILLS:
- AWS cloud platform experience
- Data engineering or data science platform experience
- Cloud infrastructure automation
- DevOps and CI/CD best practices
- Production application support
- Monitoring and observability
- Automated testing and deployment
- Experience working in Agile environmentsKEY TECHNOLOGIESPython | GitHub | GitHub Actions | CI/CD | AWS | AWS CDK | Terraform | CloudFormation | Infrastructure as Code | APIs | Data Engineering | Data Science Platforms | Automated Testing | Cloud Storage | Databases | Monitoring | Production Support