Veja oportunidades remotas de Azure 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 Azure como filtro de stack sem alterar os nomes originais dos cargos, comparando senioridade, países aceitos e prontidão para aplicação.
Databricks · Field Engineering - Other
Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
Databricks · Field Engineering - BIF
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
MongoDB · Solutions Consulting
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D : Databases
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Databricks · Field Engineering - Other
5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,
Enfuce · Data Science
Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.
Career Factory · Data Science
Design und Implementierung kompletter ETL/ELT-Pipelines – von der Ingestion bis zum konsumierbaren Datenprodukt
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Sport Alliance GmbH · Data Science
Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.
SDG Group · Developer
En SDG Group somos líderes globales en Big Data, Business Intelligence, Analytics e Inteligencia Artificial.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Ensemble Health Partners · Data Science
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Foundever · Data Science
Design and optimize complex data storage solutions, including data warehouses and data lakes.
Sport Alliance GmbH · Data Science
Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.
Valtech · Data Science
The work we do and the innovation we drive
Valtech
The work we do and the innovation we drive
Brillio · Data Science
Build and deploy ML and CV models using Python.
Rush Street Interactive · Data Science
Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Colibri Digital
Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
CenterWell Senior Primary Care
Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.
Sigma Software
Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode
Intetics
Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.
7+ years in data engineering
NeueHealth
Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
reos · Data Science
Du entwickelst und verantwortest die Architektur sowie die Implementierung skalierbarer ETL‑Pipelines auf Basis von Microsoft Fabric und sorgst für eine effiziente, automatisierte Integration heterogener Datenquellen
Exadel
Review available data sources, access patterns, interfaces, and integration options
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
Comece com uma palavra-chave e depois filtre por stack ou localização.