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Jobs/Senior Data Analytics Engineer
Envoy

Senior Data Analytics Engineer

Envoy

San Francisco, California, United StatesFull-time5-10 yearsOn-site
Posted 1 day ago· America/Los_Angeles· San Francisco, California, United States

Why This Is a Good Vibe Coding Job

Envoy is one of the few companies explicitly hiring for 'vibe-coding' fluency, looking for engineers who use LLMs to eliminate boilerplate and ship faster. The role focuses on building agentic workflows and RAG infrastructure, meaning you’ll be creating the very AI tools that define the next generation of data engineering. It’s a rare chance to apply AI-assisted development practices to a high-scale, modern data stack.

The Opportunity

As a lead architect for Envoy’s data ecosystem in San Francisco, you’ll move beyond traditional reporting to construct an "Intelligence Platform" that powers autonomous business insights. This role is designed for a "Full-stack" Data IC who views data assets as software products. You’ll be at the forefront of integrating agentic workflows and retrieval-augmented generation (RAG) into a high-scale workplace management platform used by thousands of global organizations.

The Vibe Coding Tech Stack

This position is a playground for AI-first builders. You’ll leverage Python, LLM APIs, and Vector Databases to create systems that serve both human analysts and AI agents. By utilizing tools like dbt for software-grade SQL and modern orchestrators like Airflow and Databricks, you’ll automate the mundane aspects of data engineering. Envoy specifically values the "vibe-coding" mindset—using LLMs to accelerate your output while maintaining the human oversight necessary for architectural integrity.

Growth & Impact

You won't just be managing pipelines; you'll be a strategic partner to product teams, defining the KPIs that shape company direction. This is a high-autonomy environment where you are encouraged to proactively solve bottlenecks before they surface. As a mentor, you’ll help elevate the team’s engineering standards, implementing CI/CD and version control best practices to ensure the data engine runs with maximum efficiency and reliability.

Skills & Tags

Analytics EngineeringData EngineeringSQLdbtPythonMachine LearningLLM APIsVector DatabasesGitCI/CDData ModelingSemantic LayerRAGData PipelinesSoftware Engineering

Keywords

RedshiftDatabricksdbtAirflowOmniSegmentEstuaryPythonSQLMachine LearningRAGSemantic LayerMCPVector DatabasesGitCI/CDData PipelinesAnalytics EngineeringData ModelingOpenSearchKafkaFlinkStreaming AnalyticsAgentic WorkflowsProduct Analytics

Categories

Data & AnalyticsSoftwareTechnologyEngineering

Source: ashby