Browse remote Azure opportunities and confirm accepted candidate locations before applying.
This page focuses on remote roles with visible candidate-location eligibility for developers, engineers, DevOps, data, QA, support, and other IT professionals.
Use Azure as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.
Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
MongoDB · Solutions Consulting, Partners
Design scalable, secure, and high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions
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
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
Newbridge · Data Science
Architect end to end batch and Spark Streaming pipelines on cloud (AWS/GCP/Azure).
ITX · Developer
Design and implement scalable, secure data pipelines across multi-cloud ecosystems (Azure, AWS, GCP).
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
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.
Smart Working · Developer
Support and maintain data ingestion pipelines, including connectors that pull data from NHS systems, practice management systems, and laboratory or equipment sources using APIs and screen-scraping.
Gather AI · Data Science
Architect a greenfield, multi-layer data warehouse (raw, refined, serving) that separates analytical workloads from production OLTP traffic.
NTT DATA · Data Science
Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
Creative Chaos · Data Science
Designing and implementing robust data pipeline solutions within Azure Data Lake.
Alimentiv
Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.
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.
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
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.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Moniepoint · Data Science
Build and maintain robust data pipelines processing large volumes of data
Ira Commerce · Data Science
Develop and maintain scalable data pipelines to support business requirements.
Teamified
The Snowflake platform is scalable, performant, secure, cost-efficient, and trusted across the organisation.
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
Particle41 · Data Science
Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.
Creative Chaos · Data Science
Design and develop scalable and reliable data pipelines, ensuring high availability and performance.
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.
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