Senior Data Scientist

Project Description: Envana is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision- making to optimize large-scale renewable and traditional energy portfolios. We're delivering a key client MVP in February 2027, and the project continues into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation through good modeling, clean schemas, reliability and automation. Responsibilities: Work closely with product teams to help define and execute technical criteria Architect and maintain robust data ingestion pipelines that feed both our application and analytics Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it with our existing services and workflows Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema change handling Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases Mandatory Skills Description: Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working as an autonomous IC Designing and building production ingestion pipelines from APIs, files and shared-data sources, using a workflow orchestrator (any tool, e.g. Airflow, Dagster or Step Functions) Production experience with a cloud data warehouse (Snowflake preferred) Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript AWS or another enterprise cloud platform AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD Strong English and communication skills Nice-to-Have Skills Description: dbt Preparing data for AI/LLM use (e.g. semantic layers, metadata, retrieval-ready datasets) Infrastructure as code (e.g. Terraform) Exposure to energy, utilities or sustainability data Languages: English: B2 Upper Intermediate … mais Requisitos adicionados pelo anunciante da vaga • Mais de 3 anos de experiência profissional com Data Engineering • Mais de 3 anos de experiência profissional com SQL • Mais de 1 anos de experiência profissional com JavaScript • Mais de 3 anos de experiência profissional com Python (Programming Language) Pesquise vagas mais rápido com Premium Acesse informações sobre empresas, como prioridades estratégicas, tendências de número de funcionários e muito mais Jonatas e outros milhões de usuários têm contas Premium Reative o Premium Aproveite o suporte 24 horas e cancele quando quiser. Sobre a empresa Luxoft 3.010.644 seguidores Seguindo Atividades dos serviços de tecnologia da informação • 10001+ funcionários • 13.188 no LinkedIn Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications. DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.