Manufacturing Data Analytics Jobs in Fall River, MA

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.

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
• 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

Manufacturing Industry Expertise (Preferred)

• 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

System-Specific Experience (Preferred)

• 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

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

This description is a summary of principal responsibilities and is not intended to include all duties that may be assigned.

Teknor Apex is an equal opportunity employer and does not discriminate against any protected status under state or federal laws. Must be 18 years of age or older to work at Teknor Apex.