Intellypod

Intellypod is an artificial intelligence company specializing in Generative AI solutions, machine learning, and digital transformation services. They provide tailored IT and digital services, including automation, analytics, and customer experience enhancements. With a focus on innovation, Intellypod has completed over 150 projects and serves more than 1,000 clients, positioning itself as a leader in the AI-driven technology space. Their mission is to empower businesses with advanced technologies that drive efficiency and sustainable growth.

AIAutomationCloud ServicesCustomer ExperienceData AnalyticsDigital TransformationMachine LearningRobotic Process Automationintellypod.com

Intellypod

AIAutomationCloud ServicesCustomer ExperienceData AnalyticsDigital TransformationMachine LearningRobotic Process Automationintellypod.com

HQHouston, US

Team Size16

Open Jobs14

Total Funding-

Latest FundraiseUnknown

Join the Team

Microsoft Fabric Data Engineer

RemoteUS

Remote • US

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Software Engineer

InternshipTel Aviv

Internship • Tel Aviv

AI Researcher

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

Product Designer

Part-timeLondon, GB

Part-time • London, GB

Software Engineer

ContractBerlin, DE

Contract • Berlin, DE

Frontend Developer

Part-timeNiš, RS

Part-time • Niš, RS

Mobile Developer

ContractSan Francisco, US

Contract • San Francisco, US

Job Title: Microsoft Fabric Data Engineer

Location: Remote

Duration: Contract to Full time

Rate: $50-$55/hr

Experience: 3-5 Years (2+ years with Azure / Microsoft Fabric required)

NEED US CITIZENS, GC AND EAD'S Holder only.

Job Summary

We are looking for a skilled Microsoft Fabric Data Engineer to play a key role in implementing Microsoft Fabric and migrating the existing SQL based data platform to Microsoft Fabric. The candidate will design, build, and optimize modern data pipelines using Fabric Data Factory, load data into a medallion architecture onOneLake, leverage Spark, and Fabric Warehouse, enabling scalable, secure, and analytics-ready data solutions.

This role will work closely with data architect, Fabric administrators, BI teams, and business stakeholders to deliver a robust lakehouse-centric data platform.

Key Responsibilities

Data Migration & Engineering

Migrate data from Azure SQL databases and legacy ETL pipelines into Microsoft Fabric.
Redesign ETL processes and rebuild using Fabric capabilities.
Implement Medallion architecture (Bronze, Silver, Gold).
Design and Develop efficient ingestion, transformation, and orchestration pipelines.

Fabric Data Development

Build and manage pipelines using Fabric Data Factory.
Develop transformations using Spark notebooks (PySpark/SQL).
Create and model Fabric Warehouses.
Work with OneLake for unified storage and data access.

Performance & Optimization

Optimize Spark jobs, pipelines, and warehouse queries for performance.
Implement partitioning, incremental loads, and CDC patterns.
Ensure data quality, consistency, and reliability.

Security & Governance

Work with Fabric administrators on RBAC, workspace design, and data access controls.
Apply data governance standards including naming conventions, lineage, and metadata.
Support integration with Microsoft Purview.

DevOps & Automation

Implement CI/CD pipelines for Fabric artifacts using Git/Azure DevOps.
Support environment promotion (Dev → Test → Prod).
Automate deployments and data validation checks.

Collaboration & Support

Collaborate with BI teams to enable Power BI semantic models and reporting.
Work with stakeholders to understand data requirements and SLAs.
Provide production support and troubleshooting.

Required Skills & Qualifications

Technical Skills

Strong experience in data engineering using Microsoft Azure.
Hands-on experience with Microsoft Fabric, including:
Fabric Data Factory
Lakehouse & OneLake
Spark / Notebooks
Fabric Data Warehouse
Experience with Azure SQL, SQL Server, and relational databases.
Strong SQL and PySpark skills.
Knowledge of modern data architectures (Lakehouse, ELT, Medallion).
Experience with data migration and modernization projects.

Preferred / Nice-to-Have Skills

Power BI (data modeling, performance tuning).
Microsoft Purview / data governance tools.
CDC, event-driven ingestion, or streaming experience.
Fabric or Azure Data Engineer certifications.

Soft Skills

Strong analytical and problem-solving skills.
Ability to work in agile delivery models.
Clear communication with technical and non-technical stakeholders.
Ownership mindset for data reliability and quality.

Key Deliverables

Successfully migrated data platform from Azure SQL + ETL to Microsoft Fabric.
Scalable and performant Fabric data pipelines.
Analytics-ready datasets supporting enterprise reporting and insights.