Veja oportunidades remotas de Python e confirme locais aceitos antes de aplicar.
Esta página reúne vagas remotas com elegibilidade de localização visível para profissionais de desenvolvimento, dados, DevOps, QA, suporte e outras áreas de TI.
Use Python como filtro de stack sem alterar os nomes originais dos cargos, comparando senioridade, países aceitos e prontidão para aplicação.
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Mutt Data
Partner with cross-functional teams to define BI and analyticsrequirements
Sigma Software
Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems
TheHiveCareers
Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.
Compass Group USA
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
TheHiveCareers · Data Science
and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security
Goodway Group
Build modern web applications - Design, develop, and maintain full-stack applications using React, JavaScript/TypeScript, Node.js, and AWS technologies.
Sigma Software
Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems
CI&T · Developer
Business Translation & Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs;
CI&T · Data Science
Business Translation & Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs;
3Pillar Global
Understanding the business requirements
Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics
Tractian · Data Science
Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data
Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
Frame ambiguous business problems as well-posed modeling, inference, or optimization tasks, and choose methods that fit the data and the decision.
Lingaro
At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
Robots & Pencils · Data Science
Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
Metova · Data Science
Participate in cross-functional meetings to define project objectives and scope.
Power Digital Marketing
Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products
End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
Mutt Data · Data Science
Partner with cross-functional teams to define BI and analyticsrequirements
Mutt Data · Data Science
Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices.
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