Niagara Bottling

Niagara Bottling

Automation Engineer II

Corp-Offsite - Diamond Bar, CA · Mid · Internship

Sponsorship not specified$87k-$127kDetected 3 hours ago
Data AnalysisProcess ImprovementPLCMechanical DesignElectrical EngineeringControlsLeadershipCommunicationCollaborationProblem SolvingSCADALean Manufacturing

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26Unrated
Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

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About the role

  • Automation Engineer II This mid-level role is responsible for leading and executing automation initiatives across manufacturing plants, including systems that integrate AI‑enabled capabilities directly into solutions.
  • The role emphasizes technical independence, project leadership, and the ability to mentor junior engineers, with the expectation of driving significant improvements in automation and efficiency.
  • This role leverages operational data and AI‑assisted analytics to improve system reliability, performance, and decision‑making across automation platforms.

Responsibilities

  • Develop lasting relationships with great people.
  • Have the opportunity to build a satisfying career.
  • Own the programming, testing, and maintenance of PLC, HMI, and control systems
  • Incorporate data‑driven and AI‑assisted insights when selecting architectures, defining controls strategies, or evaluating automation design trade‑offs

Requirements

  • Proven experience with PLCs, control systems, and industrial automation.
  • List if any travel is required using percentage of time:
  • Minimum Qualifications:
  • 2 Years - Bachelor's degree in Electrical Engineering, Mechanical Engineering, Automation, Mechatronics, or related field.
  • Strong analytical, problem-solving, and communication skills.
  • Provide day-to-day technical guidance to junior engineers.
  • experience may include a combination of work experience and education
  • 50% - on average
  • Preferred Qualifications:
  • Familiarity with governing, validating, and supporting automation systems that include AI‑based decision logic or learning components.

Nice to have

  • 4 years of experience in automation, controls, or manufacturing.
  • Proficiency with Rockwell, Siemens, or similar PLC platforms.
  • Experience with SCADA systems, HMIs, and industrial networks.
  • Knowledge of Lean Manufacturing or Six Sigma methodologies.
  • Professional Engineering (PE) license or relevant certifications.
  • Bachelor's Degree in Electrical Engineering, Mechanical Engineering, Automation, Mechatronics, or related field.
  • Minimum Required:
  • Master's Degree in Electrical Engineering, Mechanical Engineering, Automation, Mechatronics, or related field.

Compensation

  • $87,360.12 - $126,672.19 / Yearly
  • Typical Compensation Range
  • Pay Rate Type:

Benefits

  • Paid Time Off for holidays, sick time, and vacation time
  • Paid parental and caregiver leaves
  • Medical, including virtual care options
  • 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
  • Tuition reimbursement, college savings plan and scholarship opportunities
  • Our Total Rewards package is thoughtfully designed to support both you and your family:
  • Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package.
  • https://careers.niagarawater.com/us/en/benefits

Company info

  • At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.
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This listing is sourced directly from Niagara Bottling's careers page and normalized into a canonical job model.