# Analytics Engineer

**Company:** [Perplexity](https://hotfix.jobs/companies/perplexity)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $175k – $330k/yr
**Experience:** 6+ years
**Skills:** SQL, Python, dbt, Snowflake, LLMs, RAG, AI Agents, A/B Testing, Data Pipelines, Data Modeling
**Posted:** 2026-02-20

> Build AI agents and infrastructure that autonomously conduct data analyses, make warehouses AI-readable, and create self-healing pipelines to 10x data team productivity at an AI company. Requires 6-8+ years in data science/analytics engineering, deep SQL and Python skills, product sense, and hands-on LLM/AI experience.

## Job Description

## What You'll Do
- Accelerate the AI-native data workflow by turning existing practices into repeatable systems, scalable tools, and patterns for the data team and company.
- Build AI agents that conduct end-to-end data science analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations.
- Make the data warehouse AI-readable by building semantic layers, context, and retrieval infrastructure for accurate querying by any AI system.
- Automate the data lifecycle with self-healing pipelines, automated dbt model generation and validation, and data quality agents.
- Ship AI-powered experiment analysis tools that interpret A/B test results, flag statistical issues, and draft recommendations.
- Own the full lifecycle from problem identification to prototyping with LLMs, iteration, production deployment, and monitoring.
- Turn the data team into a product team by building internal data products and self-serve AI interfaces.

## What We're Looking For
- 6-8+ years in data science, analytics engineering, or related role.
- Strong product sense with experience working with product and business teams.
- Deep SQL expertise, including building data models and working with warehouses.
- Pipeline experience with dbt and handling data quality issues.
- Software engineering skills in Python to build and ship tools, wrangle APIs, and deploy services.
- Genuine excitement about AI, with hands-on experience building with LLMs, agents, RAG systems, or AI workflows.
- Builder mentality focused on automating manual processes and shipping fast.
- Autonomy to define roadmap in a new function.

## Nice-to-Haves
- Experience with dbt for production models.
- Snowflake administration and optimization.
- Built Slack bots, internal CLI tools, or developer productivity tools.
- Background in AI agent frameworks.
- Experience with BI tools.
- A/B testing and experimentation design and analysis.
- Early-stage startup experience.

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