Sr. or Mid-Level Systems Design and Integration Specialist

Company:

Boeings Information Digital Technology and Security (IDT&S) Manufacturing and Quality (M&Q) is currently seeking a (Mid-Level or Senior) Systems Design and Integration Specialist to join the Connected Manufacturing team in one of the following locations/areas: Everett WA Seattle WA St. Louis MO N. Charleston SC Portland OR Salt Lake City UT Los Angeles CA Mesa AZ Ridley Park PA or Huntsville AL

This is a Hybrid role w/expectations of going into the facility as needed/required.

There is no sponsorship now or in the future for this position. It requires a US Person (Green Card holder or US Citizen)

The Connected Manufacturing team accelerates Boeings factory digital transformation by delivering secure standardized and scalable data collection and analytics capabilities that drive measurable improvements in production performance and cost.

As a Systems Integrator you will be responsible operating across multiple domains including building solutions for connectivity to collect data from factory equipment designing and implementing data collection architectures building time-series data pipelines and dashboards integrating with MES and other reporting systems and using this data and information to creatively solve problems relating to Boeings manufacturing operations such as creating predictive maintenance and machine-performance models and analysis.

As part of the platform development team this role will be responsible for developing deploying and maintaining scalable secure and reliable infrastructure that supports real-time data collection and analytics from industrial devices and equipment using both cloud and factory edge-based capabilities. They will leverage modern skillsets such as cloud-native technologies container orchestration automation and continuous integration/continuous deployment (CI/CD) to help modernize Boeings factory data collection solutions.

Key Responsibilities

• Design and implement factory floor connectivity architectures to reliably collect data from manufacturing equipment PLCs machine controllers sensors and test stands enabling KPI OEE and other quality metric calculations.

• Manage integration of factory data with enterprise information systems IIoT platforms and other Boeing reporting systems.

• Develop full stack solutions and processes for modernizing the factory data collection and integration platforms integrating modern development practices testing deployments and tooling.

• Develop and validate data models time-series ingestion pipelines and data quality checks to ensure trustworthy factory data for analytics and decision-making.

• Support creation of dashboards visualizations and alerting for machine performance production bottlenecks and downtime root-cause analysis.

• Establish and document best practices for edge device configurations data encryption access control and OT/IT network segmentation.

Required Qualifications

• 5 years in leading the design of IT Solutions for manufacturing-based environments understanding of manufacturing operational processes and information systems

• 5 years in IT infrastructure development scripting and automation

• 3 years in data-centric roles such as data modeling and database administration using a variety of data storage solutions including relational and non-relational databases timeseries data historians and cloud-based data storage offerings

• Strong troubleshooting and root-cause analysis skills in a factory environment

Preferred Qualifications

• Bachelors or higher degree in Computer Engineering Computer Science MIS or equivalent.

• 7 years in leading the design of IT Solutions for manufacturing-based environments understanding of manufacturing operational processes and information systems

• 7 years in IT infrastructure development scripting and automation

• 5 years in data-centric roles such as data modeling and database administration using a variety of data storage solutions including relational and non-relational databases timeseries data historians and cloud-based data storage offerings

• Familiarity with Industry 4.0 Digital Transformation and Unified Namespace concepts tools and standards

• Experience in manufacturing industrial automation or IIoT roles with hands-on work on factory floor data collection and equipment integration

• Familiarity with industrial protocols and interfaces (OPC-UA MQTT Modbus EtherNet/IP Profinet etc.)

• Experience integrating AI into software development and infrastructure management lifecycles

• Familiarity with MES SCADA or historian systems (e.g. OSIsoft PI GE Historian Ignition)

• Proven experience with cloud-native and modern software development practices infrastructure-as-code deployments CI/CD pipelines and container-based orchestration

• Experience with edge-driven factory systems with a solid understanding of OT cybersecurity fundamentals and industrial network architectures

• Experience with digital twin modeling and simulation of manufacturing processes

Drug Free Workplace:

Boeingis a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana cocaine opioids amphetamines PCP and alcohol when criteria is met as outlined in our policies.

Relocation:

This position does not offer relocation assistance. Candidates need to live in one of the designated areas as mentioned above or willing to relocate at their own expense.

Pay & Benefits:

At Boeing we strive to deliver a Total Rewards package that will attract engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs generally including health insurance flexible spending accounts health savings accounts retirement savings plans life and disability insurance programs and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location date of hire and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications as well as market and business considerations.

Summary pay range: Salary is determined by experience and level as well as geographical location.

Mid-Level (Level 3) - $110700 - $155100

Sr (Level 4) - $135000 - $189200

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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