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.
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.
Logicalis Spain · Data Science
Experiencia semi-senior trabajando con tecnologías de Business Intelligence de Microsoft, incluyendo desarrollo ETL con SSIS y creación de informes en Power BI.
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Platform
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly
Samsara · Platform
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Databricks · Field Engineering - FE Direct Regulated
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Databricks · Field Engineering - FE Direct Emerging
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
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.
Stravito
Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
Data Ideology · Data Science
Design and build scalable, secure, and cost-effective data solutions in Snowflake.
Intetics
Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.
Abridge · Builder
Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.
Act as a technical advisor for the integration between Databricks and data privacy/governance tools.
Bright Vision Technologies
Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient
Everfi
Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture
Ira Commerce · Data Science
Develop and maintain scalable data pipelines to support business requirements.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
ShyftLabs · Data Science
Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.
Akumin
Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
Integres, LLC
5+ years of experience in data engineering
MediaRadar
Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.
ShipBob
Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback.
Concentrix
Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems
General Dynamics Information Technology
Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases
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.
CONVOTIS Schweiz AG · Data Science
Al menos 3 años de experiencia laboral.
blueworks AG · Data Science
are the core components of our service offerings. With a balanced view of strategy, people, process and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies
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
Mutt Data
Partner with cross-functional teams to define BI and analyticsrequirements
7+ years in data engineering
Strong hands-on experience with Azure Data Factory.
Lingaro
At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
Mutt Data · Data Science
Partner with cross-functional teams to define BI and analyticsrequirements
Xideral
Ingles avanzado C1.
Particle41 · Data Science
Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.
Colibri Digital
Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
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
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.
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
Moniepoint · Data Science
Build and maintain robust data pipelines processing large volumes of data
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
Teamified
The Snowflake platform is scalable, performant, secure, cost-efficient, and trusted across the organisation.
Comece com uma palavra-chave e depois filtre por stack ou localização.