Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust Envoy to run secure, compliant, and connected operations across every location.
From manufacturing sites and data centers to life sciences labs, healthcare facilities, and corporate headquarters, Envoy unifies visitor management, risk assessment, mailroom management, digital signage software, resource booking, and emergency management into one integrated platform.
With deep integrations across access control, identity, compliance screening, and collaboration toolsâincluding LenelS2, Brivo, Genetec, Honeywell, Cisco Meraki, Okta, Microsoft Azure, Microsoft Teams, Slack, ServiceNow, DocuSign, Avigilon Alta, and Descartes Visual ComplianceâEnvoy helps organizations reduce risk, stay audit-ready, and operate with clarity at scale.
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We are a top-notch data organization with a high bar for our code, systems, practices, and people. At Envoy, we donât just "report" on data; we build the engine of the company.
As a Senior Analytics Engineer, you are a "Full-stack" Data IC. You will treat our data assets as productsâshipping reliable, high-quality data software. You will help build our Intelligence Platform, leveraging the power of our Semantic Layer, RAG, and MCP, to enable agentic self-service insights and autonomous intelligence.
You'll also be a key partner to Product Teams, helping guide prioritization and feature development efforts by turning data into a strategic advantage.
We have a modern data stack that includes Redshift, Databricks, dbt, Airflow, Omni, Segment, and Estuary.
This is an on-site position that requires 4 days a week (Monday - Thursday) in our San Francisco HQ.
Develop the Intelligence Platform: Help build and scale our semantic layer and RAG infrastructure, ensuring our data is modeled for both human consumption and autonomous agentic workflows.
Guide Product Strategy: Partner closely with Product teams to drive prioritization and feature development through deep-dive analysis, KPI definition, and robust data modeling.
Support ML & Data Science Workflows: Build and maintain the data pipelines and feature sets required for machine learning models and advanced data science projects.
Champion Engineering Rigor: Lead the team in applying software engineering best practices, including version control, CI/CD pipelines, and rigorous peer reviews.
Mentor and Multiply: Act as a technical resource for the team, providing guidance on solution design and raising the bar for code quality and architectural intuition.
5+ years of experience in Analytics Engineering, Data Science, or Data Engineering, with a strong track record in high-growth startups.
Mastery of dbt & SQL: You write "software-grade" SQL and have managed complex, large-scale dbt projects.
Python & AI Literacy: Proficient in Python for building ML workflows and interacting with LLM APIs and Vector Databases.
Engineering Discipline: Hands-on experience with modern engineering workflows, including Git, CI/CD, and automated data testing.
An AI-First Builder: You are a practitioner of "vibe-coding"âleveraging LLMs to accelerate development and automate boilerplateâwhile maintaining the "Human-at-the-Lead" judgment to ensure system integrity.
A Product Thinker: You treat data as a product. You understand that your work is only as good as the decisions it enables for PMs and the efficiency it provides for AI agents.
A Lifelong Learner: You live to learn new things and stay up to date on new technologies and techniques. You are inspired by what people know inside and outside the company and are eager to incorporate that knowledge into your work.
Proactive & Autonomous: You donât wait for a ticket to fix a bottleneck or a flawed data model. You look for problems and inefficiencies and find elegant solutions before they become major issues.
Emotionally Mature & Humble: You care about being effective over being right. You thrive in a high-standards environment where feedback is a gift.
Product Analytics Partnership: Proven experience working with Product teams to influence roadmap priorities and measure the success of feature releases.
Agentic Workflows: Experience developing with or managing agentic workflowsâunderstanding both the power and the limitations of autonomous loops.
Modern Tooling & Streaming: Experience with MCP servers, real-time data movement via Estuary, or Streaming Analytics (e.g., Kafka, Flink).
Vector DB Experience: Familiarity with OpenSearch or other vector stores for retrieval-augmented generation (RAG).
By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linkedhere. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application. Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law.
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