Fullstack Data & AI Engineer — Microsoft Fabric on Azure

Sealed Air Corporation; Mexico; On-site; PHP 6,736,068 - 9,185,548; Full time

Job summary

Sealed Air is seeking a Fullstack Data & AI Developer to help build a modern enterprise-scale data platform using Microsoft Fabric. You will work across ingestion, transformation, analytics, and business consumption, applying medallion architecture principles and AI-assisted development.

Key responsibilities include delivering reliable data solutions, integrating diverse data sources, and collaborating with stakeholders to drive outcomes with minimal supervision.

Qualifications

• Proficient in Python, PySpark and SQL programming.
• Hands-on experience with Azure data services and Microsoft Fabric.
• Experience building scalable data pipelines and transformations.
• Strong understanding of data modeling concepts.
• Familiarity with notebooks and distributed processing frameworks.
• Ability to integrate data from diverse sources and formats.
• Familiar with Power BI and analytics layer development.
• Experience using AI tools in development workflows.
• Knowledge of CI/CD practices and version control.

Responsibilities

• Develop end-to-end data pipelines and transformations across the data lifecycle.
• Build and optimize a modern enterprise-scale data platform using Microsoft Fabric.
• Collaborate with stakeholders to define data solutions and drive outcomes.
• Apply AI-assisted development to accelerate delivery and quality.

Skills

Python

PySpark

SQL

Azure Data Factory

Synapse

Databricks

Microsoft Fabric

Data pipelines

Data modeling

CI/CD

Version control

Power BI

AI-assisted development

Tools

Azure Data Factory

Synapse

Databricks

Microsoft Fabric

Job description

Sealed Air is seeking a Fullstack Data & AI Developer to help build a modern enterprise-scale data platform using Microsoft Fabric. You will work across ingestion, transformation, analytics, and business consumption, applying medallion architecture principles and AI-assisted development.

Key responsibilities include delivering reliable data solutions, integrating diverse data sources, and collaborating with stakeholders to drive outcomes with minimal supervision.