Angi
Principal Analytics Engineer
Remote - United States · Principal
Sponsorship not specified$165k-$240kDetected 55 days ago
PythonSQLSnowflakePlatform EngineeringdbtData EngineeringLLMsAgentic AIRecruitingLeadershipCommunicationMentoring
About the role
- 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.
Responsibilities
- 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.
- Shared Frameworks: Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices.
- 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.
- Our AI tools are designed to complement, not replace, human decision-making.
Requirements
- 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.
- 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.
Nice to have
- 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 may vary based on factors such as cost of living.
- work hard and take time when you need it
- 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.
Skills
- Operational Excellence & Velocity
Compensation
- 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.
Benefits
- 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)
- We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Company info
- 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
- 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.
This listing is sourced directly from Angi's careers page and normalized into a canonical job model.