Cloud Data Engineer, Azure, Fabric, Databricks

Inviso

Cloud Data Engineer responsible for designing and delivering Azure Data & AI solutions for clients. Collaborating with teams to build scalable data platforms and modern engineering patterns.

Posted 5/16/2026full-timeRemote • 🇲🇽 MexicoMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSQLVault

About the role

Key responsibilities & impact

Designing, building, and delivering modern Data & AI solutions on Microsoft Azure
Working closely with clients and internal delivery teams to develop scalable, production-ready data platforms that enable analytics, reporting, operational intelligence, and AI workloads
Contributing across the full project lifecycle including development, testing, deployment, optimization, and client collaboration
Partnering with solution architects, project teams, and customer stakeholders to implement modern lakehouse and data engineering patterns using Microsoft Fabric, Azure, and Databricks technologies
Supporting a wide range of customer environments across commercial and public sector organizations

Requirements

What you’ll need

3-5 years of experience designing, developing, and deploying Microsoft data platform solutions
Experience building and maintaining data pipelines using Microsoft Fabric, Azure Databricks, Azure Data Factory, or related Azure data services
Strong proficiency in PySpark, SQL, Python, and modern ETL/ELT development patterns required
Experience working with lakehouse architectures, medallion data models, and enterprise data engineering practices
Experience with CI/CD deployment automation using Azure DevOps or GitHub
Strong knowledge of Azure services including Azure Data Factory, Azure SQL, Azure Storage, Azure Data Lake Storage, and related services
Experience troubleshooting, optimizing, and supporting production data workloads
Experience with T-SQL development including stored procedures, views, and performance optimization
Strong communication and collaboration skills for both internal and external client engagements
Ability to work independently, manage priorities, and deliver high-quality solutions within project timelines
Interest in modern AI productivity and agent technologies including Microsoft Copilot and Copilot Studio
Prior experience is a plus, though willingness to learn and work with these technologies is expected
Knowledge of Data Vault or dimensional modeling methodologies preferred
Microsoft Cloud certifications (Fabric, Azure Data Engineer, or related certifications)
Bachelor's degree (or higher) in a related field
Experience with AI/ML frameworks, analytics engineering, or modern AI workloads
Experience supporting enterprise-scale cloud or data modernization initiatives

Benefits

Comp & perks

monthly pantry voucher
vacation (paid time off)
vacation premium
Christmas bonus/Aguinaldo (30 days)
major medical insurance
life insurance
referral bonus program
education reimbursement program
monthly internet and electricity allowance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Microsoft data platform solutionsdata pipelinesPySparkSQLPythonETLELTT-SQLdata engineeringAI workloads

Soft Skills

communicationcollaborationindependencepriority managementsolution delivery

Certifications

Microsoft Cloud certificationsAzure Data Engineer