Fabric Data Engineer

Next Ventures; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Next Ventures is seeking a Data/BI Engineer to build an enterprise data platform using Microsoft Fabric and Azure Data Services. The role is remote with LATAM focus (Mexico, Argentina, Brazil) and requires hands-on Fabric experience.

You will design scalable data pipelines, lakehouse architectures, and analytics solutions with Python/PySpark and Power BI integration, leveraging Data Factory, Synapse, and Databricks in a governed environment.

Qualifications

• 2–3+ years delivering Microsoft enterprise analytics/data engineering.
• Strong hands-on Fabric experience and Azure data services.
• Effective stakeholder communication with Agile/Waterfall delivery.

Responsibilities

• Build high-performance data ingestion, transformation, and orchestration pipelines.
• Develop reusable Lakehouse and semantic models and star schemas.
• Work with Fabric, Azure Data Factory, Synapse, ADLS, Databricks and Power BI integration.
• Engineer with Python, PySpark, Spark SQL, SQL, and KQL; optimize SQL/Spark/DAX.
• Manage platform governance, security, workloads, and CI/CD pipelines.
• Collaborate across teams in an Agile/Waterfall delivery environment.

Skills

Python

PySpark

Spark SQL

SQL

KQL

Power BI

Stakeholder communication

Agile Delivery

Tools

Azure Data Factory

Azure Synapse

ADLS

Databricks

Airflow

Azure DevOps

GitHub CI/CD

Job description

BUILD AN ENTERPRISE DATA PLATFORM WITH MICROSOFT FABRIC - DATA/BI ENGINEER OPPORUNITY - LEADING MICROSOFT PARTNER - REMOTE ON OFFER

One of my customers, A Global Leading Microsoft Partner, are ramping up across their LATAM Data Engineering team, looking add Data Engineers based in Mexico, Argentina or Brazil for a remote opportunity focused on Microsoft Fabric and Azure Data Services. You'll help shape a scalable enterprise analytics platform, translating business requirements into governed data pipelines, Lakehouse/Warehouse models and analytical solutions.

The role

• Building high-performance ingestion, transformation and orchestration for structured/semi-structured data from SaaS, on-premises, PaaS, SharePoint and files.
• Developing reusable Lakehouse and semantic models, dimensional/star schemas, and solutions aligned with Medallion and other modern data architectures.
• Using Fabric Data Factory, Pipelines, Dataflows Gen1/Gen2, Copy Jobs, notebooks, Spark jobs and Apache Airflow, with exposure to Eventhouse and materialized lake views.
• Engineering with Python, PySpark, Spark SQL, SQL and KQL; optimizing SQL, Spark and DAX, with a good understanding of Power BI.
• Working across Azure Data Factory, Synapse, ADLS and Databricks, supported by Azure DevOps/GitHub CI/CD.
• Managing platform governance, OneLake/SQL security, workspaces, capacity and workloads; testing, profiling, monitoring, troubleshooting and incident resolution.

We're seeking 2-3+ years delivering Microsoft enterprise analytics/data engineering, including strong recent hands-on Fabric and Azure experience, effective stakeholder communication and Agile/Waterfall delivery.