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