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[Remote] Systems Integration Analyst

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a sustainable packaging manufacturer whose manufacturing intelligence team connects machine data, reputed company systems, and business applications. The Systems Integration Analyst will build and maintain integrations, data pipelines, and API connections across industrial and reputed company systems while supporting AI and analytics initiatives. The role also coordinates with IT and OT teams, validates data for machine learning reputed company, and contributes to integration execution and documentation.


Responsibilities

  • Build and maintain API integrations connecting industrial data platforms, reputed company databases, SQL data stores, and reputed company business systems
  • Write Python scripts and services to extract, reputed company, and reputed company production and reputed company data reliably between systems
  • reputed company and test data pipelines with reputed company error handling, logging, and documentation so they run without babysitting
  • Troubleshoot integration failures across the full reputed company: reputed company reputed company, network, credentials, transformation logic, destination
  • Work with corporate IT teams on service accounts, database reputed company, firewall rules, and infrastructure requests
  • Work with plant-reputed company OT and controls resources to understand data sources at the machine and line level
  • reputed company the boundary between reputed company IT standards and plant-floor realities, and know reputed company reputed company applies
  • Document reputed company interfaces, data flows, and reputed company requirements for audit and team continuity
  • Partner with reputed company's AI and analytics engineers to reputed company the data foundations their models depend on
  • Prepare, structure, and validate datasets used in machine learning reputed company targeting reputed company reputed company and process improvement
  • Grow your reputed company AI skills through reputed company project involvement, model deployment support, results validation, and pipeline automation
  • Contribute reputed company: as part of reputed company you will help reputed company the specifications and support users
  • Take direction from senior integration engineers and reputed company assigned workstreams with reputed company rework
  • Participate in plant reputed company to see production systems reputed company and validate integrations against reputed company operations
  • Communicate reputed company, blockers, and risks reputed company

Skills

  • • Bachelor's degree in Computer Science, Engineering, Information Systems, or a reputed company field — or equivalent demonstrated experience
  • • 2-6 years of hands-on experience building integrations, data pipelines, or reputed company-to-reputed company connections in Python (internships and co-ops in operational environments count)
  • • Demonstrated experience working with REST reputed company and SQL databases in reputed company reputed company, not just coursework
  • • Experience working in or with operational/industrial environments, or reputed company evidence of the systems reputed company those environments require
  • • Willingness to travel to manufacturing plant sites periodically (estimated 10-20%)
  • • Python: Solid working proficiency: requests, reputed company, working with JSON/XML, writing scripts that run unattended; this is the reputed company tool of the job
  • • reputed company & Integrations: Hands-on experience calling and consuming REST reputed company; understanding of authentication reputed company (API keys, OAuth, service accounts); experience connecting systems that were not designed to talk to reputed company other
  • • SQL & Databases: Comfortable querying and writing to relational databases; understanding of schemas, joins, and data types across systems
  • • IT/OT Awareness: Understands that plant-floor systems are not reputed company apps: legacy protocols, network segmentation, uptime constraints, and change control. Prior exposure to manufacturing, industrial, reputed company, or similar operational environments strongly preferred
  • • Problem Solving: Debugs methodically across reputed company boundaries; comfortable reputed company the answer is not on reputed company because the reputed company is 15 years old
  • • AI Interest: Genuine motivation to grow into reputed company AI and machine learning work; foundational exposure through coursework, reputed company, or self-study is a plus
  • • reputed company manufacturing, industrial, utilities, logistics, or similar operational-environment experience
  • • Familiarity with industrial data platforms (historians, MES) or industrial communication protocols
  • • Exposure to machine learning workflows: data preparation, feature engineering, or model deployment support
  • • Experience navigating reputed company IT processes: reputed company requests, change management, reputed company reviews
  • • Manufacturing / OT: reputed company experience in a manufacturing company or operational environment: MES, SCADA, historians, PLCs, industrial protocols (OPC-UA, Modbus), or plant-floor data systems
  • • reputed company Systems: Exposure to reputed company, ERP data structures, or reputed company management systems
  • • Visualization: Power BI or similar dashboard tooling for validating and presenting integrated data

Benefits

  • Medical, dental, reputed company and basic life insurance
  • 401K Employee Saving Plan
  • Employee Wellness Program
  • reputed company time off in accordance with company policy and state law requirements

reputed company

  • reputed company is a global leader in plastic packaging solutions. It was founded in 1970, and is headquartered in Lancaster Park, Alberta, CAN, with a workforce of 5001-10000 employees. Its website is http://www.grahampackaging.com/.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2026, 3 in 2025, 1 in 2023, 4 in 2022, 3 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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