{"id":1629169,"url":"https://alion.io/job/ralliant-smart-factory-data-engineer","title":"Smart Factory Data Engineer","company":{"id":2241821,"name":"Ralliant","domain":"ralliant.com","url":"https://alion.io/company/ralliant","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":19,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":222000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":960},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"MQTT","optional":false},{"name":"OPC UA","optional":false}],"status":"live","first_seen_at":"2026-09-19T13:16:09Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-10-06T21:11:14Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Role: Smart Factory Data Engineer\nLocation: Fairport, NY\nThis is an outstanding place to work!\nIt all starts with the people. You will love working with colleagues who have a genuine desire to innovate and solve complex problems. We come to work every day striving to make the organization better than it was the day before-asking tough questions, pushing boundaries, and supporting each other in an environment that values authenticity, clarity, inclusion, and diversity. Qualitrol associates enjoy the autonomy, breadth of responsibility, and creativity typical of a medium-sized company, while benefiting from the resources, standard methodologies, and career opportunities of a Fortune 500 organization like Ralliant.\nYour Impact\nAs a Smart Factory Data Engineer, you will play a pivotal role in Qualitrol's manufacturing modernization and digital transformation journey. You will be responsible for designing and implementing the digital infrastructure that connects production equipment, manufacturing systems, quality systems, and operational processes into a unified industrial data platform.\nThis role bridges the factory floor and the cloud, enabling real-time visibility, operational intelligence, and data-driven decision making across manufacturing operations. You will establish scalable data acquisition architectures, develop industrial data pipelines, create operational dashboards, and help build a model production cell that showcases Industry 4.0 best practices and emerging manufacturing technologies.\nHere’s Where You’ll Demonstrate Your Proficiency\nDesign, deploy, and maintain industrial data acquisition solutions that connect production equipment, sensors, PLCs, test systems, MES systems, and quality systems.\nBuild and maintain scalable data pipelines that collect, process, transform, and deliver operational manufacturing data.\nDevelop real-time and near-real-time data architectures that enable operational visibility and rapid decision making.\nDesign and implement data integration solutions utilizing Industrial IoT platforms, and edge computing technologies.\nCreate and maintain operational dashboards that provide insight into production performance, quality, throughput, downtime, utilization, and OEE.\nEstablish standards and best practices for factory data architecture, governance, connectivity, and scalability.\nDesign and implement hybrid cloud architectures leveraging Azure and AWS services while integrating on-premises manufacturing systems and edge devices.\nLead development of a model production cell demonstrating smart manufacturing, Industry 4.0 best practices, and advanced operational intelligence.\nThe Successful Candidate Will Demonstrate the Following Skills and Experience\nBachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Mathematics, or a related technical field.\n\n5+ years of experience designing and implementing data engineering solutions in manufacturing, Industrial IoT, smart factory, or Industry 4.0 environments.\nHands-on experience with Azure Data Factory, Databricks, IoT Hub, Synapse/Fabric and AWS IoT Core, Kinesis, Glue, Redshift, S3 or similar technologies.\nExperience integrating factory-floor systems including PLCs, SCADA systems, machine controllers, sensors, manufacturing databases, and edge platforms.\nKnowledge of industrial communication protocols including OPC-UA, MQTT, Modbus, Ethernet/IP, or similar technologies.\nExperience building real-time or streaming data architectures and operational dashboards.\nWorking knowledge of manufacturing metrics including OEE, throughput, yield, scrap, downtime, first-pass yield, and cycle time.\nExperience supporting Lean Manufacturing, Continuous Improvement, Six Sigma, or Kaizen initiatives is strongly preferred.","description_format":"text","description_chars":3789,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial IoT 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