---
title: 'Principal Analytics Engineer at Angi'
canonical: 'https://feeny.ai/job/principal-analytics-engineer-angi-united-states-wrdmx46597ej'
type: 'job'
last_seen: '2026-09-05'
---

# Principal Analytics Engineer at Angi

- **Company:** Angi
- **Location:** United States
- **Compensation:** $165k–$240k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-05-29
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/angi/b4a666ff-56c9-4c94-b3b7-38aff7271c91/application

**Skills:** SQL, Python, dbt, Snowflake, Data governance tooling, Data catalogs, Lineage systems, Modern data stack, Data mesh architectures, Federated data ownership models, AI/LLM tooling

> Shape product data transformation and consumption by designing analytics architecture, semantic layers, and governance standards. Enable human analysts and AI agents with consistent metrics and trustworthy insights while mentoring peers and driving operational excellence.

## Job description

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.

For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.

Angi at a glance:

- Founded in 1995 as Angie’s List and rebranded in 2021
- Global company with 9 brands in 8 countries and employees worldwide
- Homeowners have turned to us for 300 million home projects and counting

## ABOUT THE TEAM

The Principal Analytics Engineer for Product Analytics will shape how product data is transformed and consumed, ensuring that both human analysts and AI agents receive consistent metrics, faster iteration, and trustworthy answers. This role is central to designing and evolving an analytics architecture that radically shortens the distance from complex business questions to validated insights. As a Principal leader, you will be the connective tissue across data engineering, analytics, and product teams—architecting pipelines, semantic layers, and quality practices so they work as a singular, cohesive system.

The ideal candidate is a visionary technical simplifier with deep expertise in modern data stacks, a passion for developer/analyst velocity, and a proven ability to enable partner teams. You will play a dual role: empowering human analysts to spend less time debugging and more time driving strategy, while simultaneously hardening our data layer into a load-bearing, semantic infrastructure that AI tools can query accurately and safely.

## WHAT YOU’LL DO

Architecture & Semantic Layer Strategy

- Data Product Ownership: Design, build, and evolve high-scale dbt models that transform raw upstream inputs into clean, well-documented, analytics-ready data products with clear contracts and ownership.
- Agent-Safe Infrastructure: Implement critical guardrails, clear grain definitions, meaningful metadata descriptions, and approved access paths so AI tools and agents can query data accurately without bypassing governance.
- Semantic Evolution: Shape how metrics are defined and exposed so that analysts, dashboards, and AI tools all return the same answer to the same question, turning the semantic layer into production-grade infrastructure for AI-powered BI.

Operational Excellence & Velocity

- Friction Elimination: Translate recurring analyst pain points—such as ambiguous metrics, broken joins, or undocumented fields—into durable, reusable models, patterns, and shared interfaces.
- Quality & Governance Standards: Set and hold the bar for what "done" means for a data product, embedding robust testing, freshness expectations, data catalogs, and metadata ownership into the development lifecycle.
- Cross-Functional Alignment: Coordinate across data platforms and product teams to map use cases, eliminate duplicate work, surface technical tradeoffs early, and drastically reduce cycle times from business question to trusted answer.

Leadership & Enablement

- Shared Frameworks: Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices.
- Mentorship & Review: Raise the collective engineering bar across the organization by running technical reviews, hosting office hours, and leading pair-programming sessions with domain analysts and engineers.

## WHO YOU ARE

## Minimum Qualifications

- Bachelor's in computer science or a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
- 12+ years of experience in analytics engineering, data engineering with heavy analytics partnership, or an equivalent technical data role.
- Expert-level SQL and strong Python proficiency for advanced data work, with a proven track record of delivering on a modern data stack (transformation-as-code, orchestration, warehouses, and BI).
- Experience with data governance tooling, including data catalogs, lineage systems, and policy-aware access patterns.
- Exceptional cross-functional leadership skills with a history of influencing engineering and product teams without direct authority.
- Strong technical communication skills, with the unique ability to explain complex modeling decisions to a product analyst without jargon, and to a platform engineer without oversimplifying.

## Preferred Qualifications

- Hands-on experience working directly with dbt and Snowflake in a high-scale environment.
- Practical experience implementing data mesh architectures or federated data ownership models.
- Exposure to AI/LLM tooling as a data consumer, with a strong conceptual grasp of what clean, well-structured data requires to be successfully queried by AI agents and assistants.

## Compensation & Benefits

- The salary band for this position ranges from $165,000 - $240,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
- This position will be eligible for a competitive year end performance bonus & equity package.
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

#LI-Remote

## About Angi

## Company Overview
- **One-liner**: Angi is a digital marketplace that connects homeowners with local service professionals for home improvement, repair, and maintenance projects.
- **Entity Type**: Public (NASDAQ: ANGI)
- **Headquarters**: Denver, Colorado, United States
- **Founded**: 1995 (as Angie's List)
- **Founders**: Angie Hicks (co-founder of Angie's List)

## Core Business
- **Primary industry/industries**: Home Services, Online Marketplace, Software Development
- **Target customers**: B2C (homeowners) and B2B (home service professionals, from solo operators to large national accounts)
- **Mission or purpose statement**: "To help everyone love where they live."

## Products & Services
- **Angi Platform (Marketplace)**: A comprehensive online platform where homeowners can research, find inspiration, compare costs, and hire skilled professionals for over 300 million projects. Includes reviews, cost guides, and booking.
- **Angi Ads (for Pros)**: A suite of advertising and lead generation products for home service professionals to grow their businesses, including subscription plans and pay-per-lead options.
- **Handy**: An on-demand home services platform acquired by Angi, offering instant booking for cleaning, handyman, and assembly services.

## Market Standing
- **Valuation/Market Cap**: USD 1.29 Billion (as of recent data)
- **Key Metric**: Annual Revenue of USD 323.3 Million (latest fiscal year)
- **Notable Investors/Partners**: IAC (InterActiveCorp) is the majority owner. The company has raised a total of USD 150.1M in funding prior to its IPO.
- **Growth Signals**: Angi has facilitated over 150 million service requests. The company operates in 20 countries, including the Netherlands, Canada, Germany, the UK, and France. Recent job posting trends show a +96.1% increase year-over-year, indicating active hiring.

## Competitive Advantages
- **Brand Trust & Scale**: With a 30-year history (founded as Angie's List), Angi has built a trusted brand and a vast network of vetted professionals, making it a go-to resource for homeowners.
- **Comprehensive Platform**: Unlike niche competitors, Angi offers a full lifecycle solution—from inspiration and research to hiring and project management—covering over 750 service categories.
- **Data & Network Effects**: The massive volume of reviews, project data, and professional feedback creates a powerful moat, improving matching algorithms and user experience over time.

## Strategic Focus
- **Platform Modernization**: Continuing to evolve from a directory into a full-service transactional platform, simplifying the process for both homeowners and pros.
- **AI & Data Science**: Investing heavily in data and machine learning (evidenced by roles like Staff AI Product Analyst, Principal Analytics Engineer) to improve matching, pricing, and operational efficiency.
- **International Expansion**: Growing presence in key European markets (Netherlands, Germany, France, UK) and Canada.
- **Pro Growth & Retention**: Developing tools and services to help home service professionals succeed, from lead generation to business management software.

## Why Work Here
- **Culture & Values**: Certified as a Great Place to Work® (78% of employees say it's a great place to work vs. 57% at a typical US company). Core values include "Build Trust. Do What’s Right," "Be Bold. Tell It Like It Is," and "Enable Great People to Do Great Things."
- **Work Model**: Highly flexible with a strong remote-first culture. Many roles are listed as "Remote - United States" or "Hybrid" for specific international offices (Amsterdam, Aix-en-Provence).
- **Benefits**: Comprehensive package including flexible PTO for salaried employees, up to 16 weeks paid leave for birthing parents + 8 weeks bonding, 401k match (50% up to 3%), tuition reimbursement, subsidized family care via Care.com, free Headspace subscription, and charitable donation matching up to $15,000/year.
- **Engineering & Data Culture**: Strong emphasis on data-driven decision making and modern tech. Open roles include Staff Machine Learning Engineer, Principal Analytics Engineer, and Engineering Manager, Kubernetes, suggesting a sophisticated tech stack.
- **Impact**: Employees work on a platform that helps millions of homeowners and supports the growth of thousands of small businesses, offering a tangible sense of purpose.

## Sources
1. [angi.com - Careers Page](https://www.angi.com/careers/jobs)
2. [LinkedIn - Angi Company Page](https://www.linkedin.com/company/angi)
3. [angi.com - Careers Landing Page](https://www.angi.com/landing/careers)
4. [Glassdoor - Angi Jobs](https://www.glassdoor.com/Jobs/Angi-Jobs-E15700.htm)
5. [Great Place To Work - Angi Profile](https://www.greatplacetowork.com/certified-company/7045819)

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