Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview
At TalentXM (Formerly BlockTXM), we're transforming the IT consulting and business process services landscape by expertly matching talents with opportunities. It was founded in 2019, and is headquartered in Sacramento, California, USA, with a workforce of 11-50 employees. Its website is https://blocktxm.com.