Senior Microsoft Fabric Integration Developer

Julie Hagan

  • Houston, Texas
  • 20 days ago
  • Remote
  • $70–$85 Per Hour

Highlights

This role will focus on developing scalable data pipelines, enabling seamless data movement across enterprise systems, and supporting advanced reporting and analytics initiatives using Microsoft Fabric and Azure technologies. This individual will play a key role in transforming business requirements into robust technical solutions while helping build highly available, secure, and scalable data platforms.

Numbers & Facts

LocationHouston, Texas (
Remote
)
Salary$70–$85 Per Hour

Description

Title: Senior Fabric Integration Developer

Location: Remote

Salary Range: $70-85/hr.

Type: Contract

No C2C or 3rd Party Vendors at this time.

We are seeking a Senior Fabric Integration Developer to help design, build, and support modern data integration and analytics solutions within a cloud-first environment. This role will focus on developing scalable data pipelines, enabling seamless data movement across enterprise systems, and supporting advanced reporting and analytics initiatives using Microsoft Fabric and Azure technologies.

The ideal candidate has strong experience in data engineering, cloud-based integrations, and enterprise analytics platforms. This individual will play a key role in transforming business requirements into robust technical solutions while helping build highly available, secure, and scalable data platforms.

Data Engineering & Integration

  • Design, develop, and maintain enterprise data integration solutions utilizing Microsoft Fabric and Azure services.
  • Build and support high-performance ETL and ELT processes that ingest, transform, and deliver data from diverse sources.
  • Develop scalable data architectures that support reporting, analytics, and business intelligence initiatives.
  • Create and maintain API-driven integrations and automated data processing workflows.
  • Implement cloud-native data solutions that improve accessibility, consistency, and reliability of enterprise data.
  • Enhance and optimize existing data pipelines to improve performance and scalability.
  • Support ongoing data modernization and platform improvement initiatives.

Analytics & Platform Development

  • Develop and support Lakehouse-based data environments that serve enterprise reporting and analytics needs.
  • Implement Medallion architecture frameworks to support structured and governed data management practices.
  • Deliver curated datasets that enable effective analytics and self-service reporting.
  • Partner with reporting and analytics teams to support data consumption requirements.
  • Contribute to

    All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

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