Urgent Role || Microsoft Fabric Data Engineer || 100% Remote (Must have Manufacturing Background)

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 month(s)
No Travel Required

Skills

Fabric
ADF
Manufacturing

Job Details

Position: Microsoft Fabric Data Engineer

Location: 100% Remote

Duration: 6+Months

Interview: Video

Job Description:

Temp-to-Permanent Opportunity

Position Overview

We are seeking a Microsoft Fabric Data Engineer with strong manufacturing industry expertise to lead the design and implementation of enterprise data integration solutions. You will architect and develop sophisticated data pipelines connecting our manufacturing systems including Infor M3, Salesforce, Anaplan, OPLIT, and other critical business platforms within our Microsoft Fabric environment.

Key Responsibilities

  • Lead the architecture and development of complex data integration solutions using Microsoft Fabric
  • Design bidirectional data flows between Fabric and manufacturing systems (Infor M3, Salesforce, Anaplan, OPLIT)
  • Build advanced ETL pipelines that can handle diverse business data patterns, with preference for manufacturing operations data
  • Implement real-time and batch processing for enterprise operations data, KPIs, and business metrics
  • Create data lakehouse architectures optimized for manufacturing analytics and reporting
  • Develop custom connectors and API integrations for specialized manufacturing equipment and systems
  • Mentor junior team members and establish data engineering best practices
  • Collaborate with business stakeholders across various departments to translate requirements into technical solutions
  • Ensure data governance, security, and compliance within enterprise data environments

Required Technical Skills

  • Microsoft Fabric: 2+ years of hands-on experience with Fabric Data Factory, Synapse Analytics, and lakehouse architecture
  • They'll take strong Azure Data Factory experience if Fabric is hard to find
  • Azure Data Factory: 4+ years of extensive experience building complex data pipelines and orchestration
  • Manufacturing experience and manufacturing ETL: Deep understanding of manufacturing data patterns, production systems, and operational metrics
  • Data Engineering: Data modeling, pipeline optimization, and performance tuning
  • Programming: SQL, Python, and PySpark for manufacturing data transformations
  • API Integration: REST APIs, webhooks, and real-time data streaming

    • Worked with 1 of these systems

    • Infor M3: Advanced knowledge of M3 manufacturing modules, data structures, and integration patterns
    • Or Salesforce: Experience integrating manufacturing sales data, customer orders, and service operations
    • Or Anaplan: Understanding of manufacturing planning processes and demand forecasting data flows
    • Or OPLIT: Experience with operations platform data integration and manufacturing execution systems

    Nice to have certifications

    • Microsoft Certified: Fabric Analytics Engineer Associate (Preferred)
    • Additional Azure or manufacturing system certifications preferred

    Qualifications

    • Bachelor's degree in Engineering, Computer Science, or related technical field
    • Manufacturing industry experience preferred with understanding of production operations, quality systems, and supply chain processes
    • Excellent communication skills for technical and business stakeholder interactions
    • Ability to translate complex business requirements into scalable data solutions

    Application Requirements

    • Resume highlighting relevant manufacturing and Microsoft Fabric experience
    • Portfolio demonstrating successful manufacturing data integration projects
    • Brief cover letter explaining your approach to enterprise data challenges and any relevant domain expertise
    Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.