Sr. Engineer (Manufacturing Technology Solutions)
About The Position
The Sr. Engineer (Manufacturing Technology Solutions) partners with business stakeholders to propose, design, develop, and manage Manufacturing Technology projects, primarily supporting warehouse and manufacturing-line operations. The role serves as a technical subject-matter expert and collaborates across Niagara’s network with internal and external stakeholders on warehouse system improvements, software and data architecture, technical requirements, manufacturing applications and automation, enterprise-system integration, project pilots, and data analysis to support deployment decisions and return-on-investment assessments. The position builds and maintains automation and AI-assisted tools, using SQL, cloud data platforms, and AI coding and agent-building tools. It designs and deploys technology solutions across multiple sites; develops data pipelines, dashboards, reporting, operational business logic, and automated workflows; and evaluates new tools while creating reusable documentation, semantic models, and standard operating procedures. The role also investigates equipment and operational issues, validates automated systems and data pipelines, and manages and reports project progress. Travel of up to 20–30% is required.
Requirements
- 4–5 years of experience in the field or a similar manufacturing environment.
- 4–5 years of experience in the position.
- 1–2 years of experience managing people or projects.
- Strong exposure to manufacturing technologies, including WMS, MES, LMS, automated data collection, visualization, manufacturing quality and efficiency, automated decision control, workflow, database applications, scheduling, data pipelines, and ERP interfaces.
- Proficiency in SQL and cloud data warehouse platforms such as Databricks.
- Proficiency with AI coding and analysis assistants such as Claude, Copilot, or ChatGPT.
- Proficiency with Microsoft Office applications, including Word, Excel, PowerPoint, Outlook, Project, and Visio.
- Experience or proficiency with Oracle business systems, such as Oracle Fusion, and warehouse management systems, such as Manhattan WMS.
- Knowledge of new system implementation and administration and project management.
- Ability to translate data into recommended actions for senior staff.
- Strong analytical and problem-solving skills; self-motivation and initiative; ability to work with minimal supervision; attention to detail and strong oral and written communication skills.
- Ability to work in a dynamic, changing environment, including a fast-moving AI and automation tooling landscape; actively track, evaluate, and adopt emerging tools.
- Sound judgment and ability to work effectively with a diverse workforce.
- Ability to travel up to 20–30%.
Nice To Haves
- 5–6 years of experience in the field or a similar manufacturing environment.
- 5–6 years of experience working in the position.
- 3 years of experience managing people or projects.
- 0–1 year of experience building agents or bots using low-code AI platforms such as Microsoft Copilot Studio.
- Experience may include a combination of work experience and education.
Responsibilities
- Design, modify, and deploy Manufacturing Technology solutions across multiple sites using various software.
- Specify hardware requirements and assist in designing software and data-pipeline systems to capture process information, including OEE, FPY, scrap, rework, productivity, downtime, and predictive maintenance data.
- Identify problems with existing systems and develop solutions suited to engineering designs, applications, and process criteria.
- Write and maintain SQL queries against the manufacturing data warehouse, such as Databricks, to analyze operational questions; build dashboards and automated reporting for plant staff and management.
- Develop business logic and automation that responds to operational events to minimize their cost impact.
- Work with internal and external stakeholders to identify requirements, define technical approaches, and develop solutions.
- Investigate equipment failures and difficult-to-diagnose faulty operations, and make recommendations to engineers, suppliers, and customers.
- Design automated test cases and validation and exception logic for automated systems and data pipelines.
- Build and maintain automation scripts, data pipelines, and natural-language reporting tools using AI coding and analysis assistants; build agents or bots to automate operational workflows.
- Evaluate, pilot, and recommend AI and data tools, and create reusable internal knowledge assets such as documentation, semantic models, and SOPs.
- Manage and report 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 coverage, including virtual care options.
- Dental insurance.
- Vision insurance.
- 401(k) with company match.
- Health Savings Account with company match.
- Flexible Spending Accounts.
- Expanded mental wellbeing benefits, including free counseling sessions for 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 accident plans.
- Special discount programs, including pet plans, pre-paid legal services, identity theft protection, car rental, and airport parking.
- Tuition reimbursement, college savings plan, and scholarship opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
