# Senior Data Intelligence Engineer

**Company:** [Deepgram](https://hotfix.jobs/companies/deepgram)
**Location:** Remote
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** SQL, Python, dbt, Athena, Salesforce, RAG, AI Agents, Data Modeling
**Posted:** 2026-04-14

> Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.

## Job Description

## Key Responsibilities

- **Semantic Layer Architecture**: Build and maintain high-fidelity dbt and SQL models that serve as the \"ground truth\" for our complex, usage-based revenue models.
- **Agent Tooling & Integration**: Develop the tools and permissions frameworks that allow \"Analyst Agents\" to query Athena, correlate Salesforce churn signals, and identify API latency issues.
- **Infrastructure Evolution**: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are \"agent-ready\" and highly reliable.
- **The \"Unlock Audio Intelligence\" Project**: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.
- **Automation Obsession**: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.

## Requirements

- **Experience**: 5+ years in high-growth Data or AI Engineering roles.
- **AI-Native Technical Skills**: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.
- **Usage-Based SaaS Fluency**: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.
- **Builder Mindset**: Comfort with \"work-in-progress\" infrastructure and the ability to turn messy, siloed data into high-impact business logic.

## Bonus Points

- Prior experience as a Software Engineer or Data Engineer.
- Experience with real-time billing and consumption systems.
- Contributions to open-source data or AI projects.

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