Angi

Technology

PrincipalAnalyticsEngineer

$165–240k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“Principal Analytics Engineer at Angi. Skills: Analytics engineering, Data architecture, Semantic layer, AI data infrastructure. Design data products. Build data products”

What You'll Achieve.

Consistent metrics; Faster iteration; Trustworthy answers; Radically shorten distance; Validated insights; Work as cohesive system; Spend less time debugging; More time driving strategy; Query data accurately; Query data safely; Reduce cycle times

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

12+ years experience, Expert-level SQL, Expert-level Python, Modern data stack experience, Data governance tooling experience, Cross-functional leadership skills, Technical communication skills

Nice to Have

Hands-on dbt experience, Hands-on Snowflake experience, Data mesh architecture experience, Federated data ownership experience, AI/LLM tooling exposure

What You'll Do.

Define metadata descriptions

Shape metric definitions

Translate analyst pain points

Set quality standards

Embed freshness expectations

Embed metadata ownership

Coordinate data platforms

Eliminate duplicate work

Surface technical tradeoffs

Establish global patterns

Maintain global patterns

Manage package management

Maintain repository best practices

Run technical reviews

Lead pair-programming sessions

How You'll Work.

Team & Collaboration

Data engineering teams; Analytics teams; Product teams; Data platforms teams; Data and analytics peers

Communication Scope

Technical communication; Explain complex modeling

Process & Methodology

Agile

Full 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: Impl

Free ATS check

Applying for this Principal Analytics Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Ashby

  • Ashby is a fast modern ATS — most applications take under 3 minutes.
  • The resume parser is strong; verify parsed experience dates and job titles.
  • Custom screening questions are often scored algorithmically — answer completely.
  • Location field affects geo-based screening; use your actual metro area.

ANONYMOUS · UNFILTERED

What do employees actually say about Angi?

Real rants from real employees. Read before you apply.

Read Company Rants →