Senior Data Engineer

Kansas City, United States

ETL & Data Pipeline Development

  • Design and maintain scalable ETL pipelines for internal operations and customer ERP systems
  • Develop robust data ingestion workflows to support automation, analytics, and integration initiatives
  • Standardize data collection and transformation across disparate systems

Unified Namespace Architecture

  • Implement and maintain a Unified Namespace (UNS) for contextualized data across manufacturing and enterprise layers
  • Build connections between ERP systems and industrial devices via the UNS framework
  • Ensure data consistency, discoverability, and interoperability across platforms

Real-Time & IoT Data Systems

  • Build real-time data pipelines using MQTT and other industrial IoT protocols
  • Integrate sensor and machine data into business applications and dashboards
  • Support development of event-driven architectures for smart factory operations

Tooling & Platform Engineering

  • Research and apply open-source and commercial tools for data processing, storage, and integration
  • Develop internal tooling to automate system deployments and scale Vertec’s data infrastructure
  • Participate in DevOps workflows to accelerate feature delivery and platform stability

Customer Engagement & Problem Solving

  • Work closely with Vertec clients to understand operational data needs and implement tailored solutions
  • Translate real-world manufacturing challenges into actionable data workflows
  • Collaborate with cross-functional teams to improve system performance, observability, and efficiency

 

Remote Work
Customer Collaboration
Autonomy
Process Documentation
Technical Expertise

Responsibilities

  • ETL & Data Pipeline Development
  • Unified Namespace Architecture
  • Real-Time & IoT Data Systems
  • Tooling & Platform Engineering
  • Customer Engagement & Problem Solving

Must Have

  • Bachelor Degree or Higher
  • 3+ years of experience in data engineering or analytics
  • Proficiency in ETL workflows and data pipeline tools
  • Experience with enterprise data modeling
  • Exposure to cybersecurity practices or secure data integration

Nice to have

  • Strong understanding of MQTT, IoT protocols, or real-time messaging systems
  • Experience in Manufacturing Contexts
  • Exposure to cybersecurity practices or secure data integration
  • Strong customer-facing communication skills