Jobs → Data & Analytics → Data Science Platform with DevOps Engineer

About the Role The Data Science Platform & DevOps Engineer will engineer and operationalize the Python-based PSO analytics platform. This role combines application and data platform engineering with GitHub workflow design, CI/CD automation, AWS CDK, automated testing, environment management, and production support. Key Responsibilities • Engineer and operationalize the Python-based PSO analytics platform • Design GitHub workflows and implement CI/CD automation • Utilize AWS CDK and other infrastructure-as-code tools • Support semantic and reporting layer integration • Manage data access patterns and prioritize enhancements for forecasting and energy market analysis Requirements • Five or more years of experience in software engineering, data engineering, data science platforms, or DevOps delivery • Strong Python development experience with data-oriented applications, APIs, packages, testing frameworks, and dependency management • Hands-on experience with GitHub, GitHub Actions, 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, technical documentation, communication, and stakeholder collaboration skills Preferred Energy Market Experience • Experience supporting energy market analytics, forecasting, optimization, trading, utility, or renewable energy platforms • Familiarity with wholesale power markets, generation operations, transmission systems, or energy trading processes • Experience working with market, operational, forecasting, or asset-performance datasets in the energy industry • Knowledge of ISO/RTO market structures, including ERCOT, PJM, MISO, SPP, CAISO, NYISO, or ISO-NE • Experience with cloud analytics, reporting, visualization, semantic-layer, machine learning, or optimization solutions