Remote job · IT and software
Senior AI Data and Analytics Engineer II
In one line: Senior AI Data and Analytics Engineer II is a remote role in the United States at a publicly traded connected operations technology company.
- Remote (US)
- A publicly traded connected operations technology company
- Posted 7 Oct 2026
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https://keywordise.com/mcpApply to Keywordise job 6ifcrphibiAbout the role
Builds the data foundation behind AI and self-serve analytics for a marketing data and analytics engineering team, shaping the technical roadmap with BI and data science colleagues.
At a glance
- PayNot stated in the posting
- Remote scopeRemote, United States
- Posted7 Oct 2026
- Last checked19 Oct 2026
What you will do
- Help define strategy and a multi-quarter roadmap for the team's data and AI foundation
- Architect and own marketing data infrastructure, including ETL and ELT pipelines and core data models
- Design semantic layers, data dictionaries and structured documentation that support self-serve BI and conversational analytics
- Turn ambiguous business problems into valuable data products, autonomous agents and automation
- Partner with BI and data science peers on key sales and marketing metrics
What they look for
- Experience architecting data pipelines and lakehouse tables, for example with Databricks
- Ability to design semantic models and documentation for self-serve analytics
- Comfort turning vague business challenges into concrete data products
- Collaboration skills with BI and data science teams
- Residence in the United States
Questions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
The posting asks for: experience architecting data pipelines and lakehouse tables, for example with Databricks; ability to design semantic models and documentation for self-serve analytics; comfort turning vague business challenges into concrete data products.
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