Manufacturing Data Engineer
United States of America
Full Time
3 hours ago
Visa Sponsor
Key skills
Data engineeringIndustrial IoTSmart factory technologyReal-time streamingKafkaKinesisMQTTOPC-UAOPCDatabricksSnowflakeAzureAWSGoogle CloudManufacturing data platformsOT/IT integrationMESERPMaintenance operationsProduction operationsAI readinessAWS ML SpecialtyAzure AI EngineerAzure Solutions ArchitectAWS Solutions ArchitectNVIDIA certificationsDatabricks certificationSnowflake certificationISA CAPWorkato Automation ProAsync documentationStakeholder collaborationQuality managementAIMLData EngineeringAzure DevOpsGitHubCRMJiraLeadershipCommunicationCollaborationSales
About this role
TalentXM is seeking an experienced Manufacturing Data Engineer to support AI-enabled manufacturing engagements. This role involves translating manufacturing requirements into scalable technical workflows and contributing to AI and automation initiatives to improve delivery speed and client outcomes.
Responsibilities:
- Own the core responsibilities of the Manufacturing Data Engineer role across client manufacturing AI engagements
- Work with cross-functional pods spanning US client-facing leadership, India AI/data engineering, and LATAM manufacturing or vision specialists
- Translate manufacturing requirements into clear technical, workflow, delivery, or GTM execution plans
- Partner with stakeholders including plant leaders, CIO/CDO teams, operations leaders, quality teams, maintenance teams, and TalentXM delivery leadership
- Document decisions, assumptions, workflows, risks, and reusable playbooks in a way that supports asynchronous global collaboration
- Contribute reusable templates, assets, automations, prompts, architectures, demos, or sales enablement material to TalentXM’s internal accelerator library
- Use measurable success criteria tied to manufacturing outcomes such as OEE, downtime, scrap reduction, quality accuracy, response time, pipeline growth, renewal, or adoption
- Follow TalentXM’s accountability, growth mindset, and flexible work operating model while maintaining high client trust
Requirements:
- 6–10 years of relevant experience in data engineering, manufacturing data platforms, industrial IoT, or smart factory technology
- Hands-on experience with real-time streaming and industrial data protocols, including: Kafka or Kinesis, MQTT, OPC-UA / OPC
- Strong experience with modern data platforms such as: Databricks, Snowflake, Azure, AWS, Google Cloud, or equivalent enterprise cloud platforms
- Strong written communication and async documentation
- Ability to work with global fractional pods and outcome-based delivery models
- Awareness of smart factory, Industry 4.0, OT/IT, MES, ERP, quality, maintenance, and production operations concepts
- Ability to understand discrete and/or process manufacturing workflows depending on client context
- Comfortable speaking with both technical teams and business stakeholders
- Operate at the Integrator level for AI readiness
- Use AI tools responsibly for research, documentation, workflow acceleration, analysis, and delivery quality
- Understand where AI should automate work, augment experts, or support decision-making without overpromising
- Zoho Recruit / Zoho CRM / Zoho Projects for TalentXM operations
- Microsoft Azure, AWS, Google Cloud, Databricks, Snowflake, or equivalent enterprise platforms
- Workato, n8n, Power Automate, MuleSoft, Boomi, APIs, webhooks, and integration workflows where relevant
- GitHub, Jira/Azure DevOps, documentation tools, Loom, Slack/Teams, and collaborative delivery systems
- AWS ML Specialty, Azure AI Engineer, Azure/AWS Solutions Architect, NVIDIA certifications, Databricks, Snowflake, ISA CAP, Workato Automation Pro, or relevant manufacturing vendor certifications