Sr. Engineer (Manufacturing Technology Solutions)

Niagara Water • Diamond Bar, CA

15h • Onsite

About The Position

The Sr. Engineer role is responsible for partnering with various business partners on technical proposals, design, and development of Manufacturing Technology projects — primarily, but not limited to, support of warehouse and manufacturing line operations. This position acts as the technical SME managing projects and working in collaboration across the Niagara network with internal and external stakeholders, contributing to: warehouse system improvements, software and data architecture design, creation of technical requirements leading to the development of manufacturing software applications and automation, integration into enterprise systems, managing project pilots, and analysis of data collected to justify future project deployments and identify ROI on new projects. This role builds and maintains automation and AI-assisted tooling directly - using SQL, cloud data platforms, and AI coding/agent-building tools as core instruments of the job.

Requirements

• 4-5 Years – Experience in Field or similar manufacturing environment
• 4-5 Years – Experience in Position
• 1-2 Years – Experience managing people/projects
• Experience may include a combination of work experience and education.
• Strong exposure to Manufacturing Technologies including WMS, MES, LMS, automated data collection, visualization, quality, efficiency in manufacturing, automated decision control, workflow, database applications, scheduling, data pipelines, and interface to ERP systems.
• Proficiency in, but not limited to: SQL and cloud data warehouse platforms (e.g., Databricks)
• AI coding and analysis assistants (Claude, Copilot, ChatGPT)
• Agent/bot building on low-code AI platforms (e.g., Microsoft Copilot Studio)
• Microsoft Office Applications – Word, Excel, PowerPoint, Outlook, Project, Visio, etc.
• Oracle Business Systems (e.g. Oracle Fusion)
• Warehouse Management Systems (e.g. Manhattan WMS)
• New System Implementation & Administration
• Project Management
• Able to translate data into recommendable actions to senior staff.
• Strong analytical and problem-solving skills.
• Self-motivated with a proven record of taking the initiative.
• Able to work with minimal supervision.
• Detail-oriented with excellent oral and written communication skills.
• Able to execute tasks in a very dynamic and ever-changing environment, including a fast-moving AI/automation tooling landscape.
• Actively tracks, evaluates, and adopts new AI and automation tooling as it emerges.
• Exercises sound judgment and the ability to work effectively with a diverse workforce.

Nice To Haves

• 5-6 Years – Experience in Field or similar manufacturing environment
• 5-6 Years – Experience working in Position
• 3 Years – Experience managing people/projects
• 0-1 Year – Experience building agents/bots using low-code AI platforms (e.g., Microsoft Copilot Studio)
• Experience may include a combination of work experience and education.

Responsibilities

• Design, modify, and deploy Manufacturing Technology solutions through various software across multiple sites.
• Specify hardware requirements and assist in the design of software and data-pipeline systems dedicated to capturing process information including, but not limited to, OEE, FPY, Scrap, Rework, productivity, downtime analysis, and predictive maintenance.
• Recognize potential problems with existing systems and develop solutions, adapting to various engineering designs, applications, and process criteria.
• Write and maintain SQL against the manufacturing data warehouse (e.g., Databricks) to analyze operational questions, and build dashboards and automated reporting that present production data to plant staff and management.
• Develop business logic and automation that acts when certain events are detected in operations, to minimize the cost impact of those events.
• Work with internal and external stakeholders to identify requirements, proactively define the overall technical approach, and develop innovative solutions that meet and exceed these needs.
• Investigate equipment failures and difficult-to-diagnose faulty operations, and make recommendations to engineers, suppliers, and customers.
• Design automated test cases and validation/exception logic for automated systems and data pipelines.
• Build and maintain automation scripts, data pipelines, and natural-language reporting tools using AI coding/analysis assistants (e.g., Claude, Copilot, ChatGPT); build agents/bots (e.g., Microsoft Copilot Studio) to automate operational workflows.
• Evaluate, pilot, and recommend new AI and data tooling; build reusable internal knowledge assets (documentation, semantic models, SOPs) so automation compounds across the team instead of remaining one-off scripts.
• Manage and report on project progress against schedule.
• Participate in strategic and tactical planning sessions.

Benefits

• Paid Time Off for holidays, sick time, and vacation time
• Paid parental and caregiver leaves
• Medical, including virtual care options
• Dental
• Vision
• 401(k) with company match
• Health Savings Account with company match
• Flexible Spending Accounts
• Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members
• Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements
• Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan
• Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc.
• Tuition reimbursement, college savings plan and scholarship opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed