Veja vagas remotas de Azure que aceitam candidatos em Estados Unidos.
Esta página reúne vagas remotas abertas para candidatos em Estados Unidos. Isso evita perder tempo com posições que parecem remotas, mas restringem contratação por país, fuso horário, folha de pagamento ou política interna.
Use Azure como filtro de stack sem alterar os nomes originais dos cargos, comparando senioridade, países aceitos e prontidão para aplicação.
Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)
Appsilon · Data Science
Design, build, and maintain scalable data pipelines across diverse environments.
MediaRadar · Data Science
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
Penn Foster · Data Science
Developing Python, SQL, and PySpark based applications and data flows in Databricks
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.
Rapinno Tech · Data Science
Any experience with operational data science, machine learning or artificial intelligence solutions
Innovatus Technology Consulting · Data Science
Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Dorle Controls LLC · Data Science
, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.
SugarCRM
Own Databricks production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across all production data flows
Allata · Data Science
Design, develop, and maintain scalable data pipelines using modern distributed data processing platforms and cloud environments.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Fora Financial · Data Science
Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.
Cutsforth, LLC · Data Science
Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads
OneSix · Data Science
Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.
All Your BI · Data Science
Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.
Bitful · Data Science
Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation
goPro Consultancy Group ltd. · Data Science
Collecting large, complex sets of data that meet non-functional and functional business requirements
ICF · Data Science
Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems
Cotiviti · Data Science
Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.
Astrana Health · Data Science
Put Patients First
VSP Vision · Data Science
(functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives Profile data to assess the accuracy and completeness of data sources and work with business
Magoya
Soporte y mantenimiento de un data warehouse en SQL Server con pipelines complejos
Sparklight Enterprise · Data Science
Designs and develops moderately complex queries, objects, ETL packages, reporting structures, and other objects necessary to support detailed analysis and self-service reporting needs.
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