Smart Factory Data Engin

Ralliant Corporation
Fairport, NY, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$83,400.0 - $155,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Microsoft Azure Communications Protocols Databases Data Architecture Information Engineering Data Integration Decision Support Systems Ethernet Supervisory Control and Data Acquisition (SCADA) Modbus
+11 more
Message Queuing Telemetry Transport (MQTT) OPC Unified Architecture Data Streaming Technical Data Management Systems Azure Data Factory HybridCloud Information Technology Real Time Data Aws Iot Data Pipelines Databricks

Job description

It all starts with the people. You will love working with colleagues who have a genuine desire to innovate and solve complex problems. We come to work every day striving to make the organization better than it was the day before-asking tough questions, pushing boundaries, and supporting each other in an environment that values authenticity, clarity, inclusion, and diversity. Qualitrol associates enjoy the autonomy, breadth of responsibility, and creativity typical of a medium-sized company, while benefiting from the resources, standard methodologies, and career opportunities of a Fortune 500 organization like Ralliant.

Your Impact

As a Smart Factory Data Engineer, you will play a pivotal role in Qualitrol’s manufacturing modernization and digital transformation journey. You will be responsible for designing and implementing the digital infrastructure that connects production equipment, manufacturing systems, quality systems, and operational processes into a unified industrial data platform.

This role bridges the factory floor and the cloud, enabling real-time visibility, operational intelligence, and data-driven decision making across manufacturing operations. You will establish scalable data acquisition architectures, develop industrial data pipelines, create operational dashboards, and help build a model production cell that showcases Industry 4.0 best practices and emerging manufacturing technologies.

Here’s Where You’ll Demonstrate Your Proficiency

  • Design, deploy, and maintain industrial data acquisition solutions that connect production equipment, sensors, PLCs, test systems, MES systems, and quality systems.
  • Build and maintain scalable data pipelines that collect, process, transform, and deliver operational manufacturing data.
  • Develop real-time and near-real-time data architectures that enable operational visibility and rapid decision making.
  • Design and implement data integration solutions utilizing Industrial IoT platforms, and edge computing technologies.
  • Create and maintain operational dashboards that provide insight into production performance, quality, throughput, downtime, utilization, and OEE.
  • Establish standards and best practices for factory data architecture, governance, connectivity, and scalability.
  • Design and implement hybrid cloud architectures leveraging Azure and AWS services while integrating on-premises manufacturing systems and edge devices.
  • Lead development of a model production cell demonstrating smart manufacturing, Industry 4.0 best practices, and advanced operational intelligence.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Mathematics, or a related technical field.
  • 5+ years of experience designing and implementing data engineering solutions in manufacturing, Industrial IoT, smart factory, or Industry 4.0 environments.
  • Hands-on experience with Azure Data Factory, Databricks, IoT Hub, Synapse/Fabric and AWS IoT Core, Kinesis, Glue, Redshift, S3 or similar technologies.
  • Experience integrating factory-floor systems including PLCs, SCADA systems, machine controllers, sensors, manufacturing databases, and edge platforms.
  • Knowledge of industrial communication protocols including OPC-UA, MQTT, Modbus, Ethernet/IP, or similar technologies.
  • Experience building real-time or streaming data architectures and operational dashboards.
  • Working knowledge of manufacturing metrics including OEE, throughput, yield, scrap, downtime, first-pass yield, and cycle time.
  • Experience supporting Lean Manufacturing, Continuous Improvement, Six Sigma, or Kaizen initiatives is strongly preferred.#LW-PW1

Benefits & conditions

The salary range for this position (in local currency) is 83400.00-155000.00

About the company

Ralliant, originally part of Fortive, now stands as a bold, independent public company driving innovation at the forefront of precision technology. With a global footprint and a legacy of excellence, we empower engineers to bring next-generation breakthroughs to life - faster, smarter, and more reliably. Our high-performance instruments, sensors, and subsystems fuel mission-critical advancements across industries, enabling real-world impact where it matters most. At Ralliant we’re building the future, together with those driven to push boundaries, solve complex problems, and leave a lasting mark on the world.

About Qualitrol

QUALITROL manufactures monitoring and protection devices for high value electrical assets and OEM manufacturing companies. Established in 1945, QUALITROL produces thousands of different types of products on demand and customized to meet our individual customers’ needs. We are the largest and most trusted global leader for partial discharge monitoring, asset protection equipment and information products across power generation, transmission, and distribution. At Qualitrol, we are redefining condition-based monitoring.

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