Microsoft Fabric Data Engineer

Teknor Apex Company • Pawtucket, RI

57d

About The Position

When Alfred Fain founded a small Rhode Island tire store in 1924, at the time no
one could have predicted how Teknor Apex would become an international custom
compounder sought out by companies around the world. After a nearly hundred-year
journey that’s carried us through acquisitions and expansion, we now have nine
U.S. locations, as well as operations in Belgium, Singapore, Germany, and China.

Throughout this global expansion Teknor has remained a privately held company,
and today Fain’s grandson sits at the helm, maintaining the family’s tradition
of fostering deep employee and customer relationships. These relationships are
what allow us—together—to deliver customized compound solutions and help our
customer’s create better products.

“Manufacturing is a team sport, and we work together to achieve our goals.” 
~Jon Fain

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.

Requirements

• Microsoft Fabric: 2+ years of hands-on experience with Fabric Data Factory, Synapse Analytics, and lakehouse architecture
• Azure Data Factory: 4+ years of extensive experience building complex data pipelines and orchestration
• Manufacturing ETL: Deep understanding of manufacturing data patterns, production systems, and operational metrics
• Data Engineering: Advanced skills in data modeling, pipeline optimization, and performance tuning
• Programming: Expert-level proficiency in SQL, Python, and PySpark for manufacturing data transformations
• API Integration: Advanced experience with REST APIs, webhooks, and real-time data streaming
• Bachelor's degree in Engineering, Computer Science, or related technical field
• Excellent communication skills for technical and business stakeholder interactions
• Ability to translate complex business requirements into scalable data solutions

Nice To Haves

• Production Systems: Understanding of manufacturing workflows, work orders, and production scheduling
• Quality Management: Experience with quality control data, inspection processes, and compliance reporting
• Supply Chain: Knowledge of inventory management, procurement, and supplier data integration
• ERP Integration: Experience with manufacturing ERP systems and their data structures
• OEE & KPI: Familiarity with Overall Equipment Effectiveness and manufacturing performance metrics
• Infor M3: Advanced knowledge of M3 manufacturing modules, data structures, and integration patterns
• Salesforce: Experience integrating manufacturing sales data, customer orders, and service operations
• Anaplan: Understanding of manufacturing planning processes and demand forecasting data flows
• OPLIT: Experience with operations platform data integration and manufacturing execution systems
• Microsoft Certified: Fabric Analytics Engineer Associate (Preferred)
• Additional Azure or manufacturing system certifications preferred
• Manufacturing industry experience preferred with understanding of production operations, quality systems, and supply chain processes

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level