Staff Analytics Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $138.5k - $221.6k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

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HubSpot

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

🤝 B2B

☁️ SaaS

B2B • SaaS • Marketing

HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.

📋 Description

• Build and optimize the performance of data pipelines and analytical tools for scale • Own and evolve core platform assets, AE tooling, reusable patterns, and automation that raise the floor for every AE on the team • Contribute to our composable agentic AE delivery system, a pipeline of AI-powered skills that automates the full delivery lifecycle from context to merged PR • Design and maintain semantic models that serve as the trusted, reusable foundation for analytics and AI consumption across the organization • Build internal AI agents and data-grounded tools, integrating RPC-based capabilities via MCP servers • Design and implement cost strategies for shared data assets, pipelines, and compute usage • Define and deploy scalable data ingestion, replication, and transfer patterns across systems • Foster innovation with emerging technologies and by staying current with industry trends • Guide professional development of the team through technical leadership • Partner with stakeholders to solve business problems with technical solutions • Build out scalable data models to analyze key parts of the HubSpot business • Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures • Drive data observability and pipeline reliability using tools like Monte Carlo • Establish scalable patterns and standards for analytical application development in Hex • Lead working groups, scope requirements, and usher projects through the entire lifecycle • Maintain detailed documentation of data pipelines, processes, and best practices

🎯 Requirements

• Expert knowledge of modern data tools (such as Snowflake, dbt, and Looker) • Extensive proficiency in SQL, data modeling, ETL, ELT, and data transformation • Deep dbt expertise including advanced modeling patterns, macros, and package development • Experience developing slowly changing dimension (SCD) tables from multiple sources • Successful experience leading complex, cross-functional data initiatives from ambiguous problem to production • Experience building or maintaining shared data platform assets, developer toolkits, or internal frameworks • Experience designing semantic models or metric layers for analytics or AI consumption • Proficiency with AI-assisted development tools such as Claude Code, including agentic pipeline design and composable, skill-based workflows • Comfort building AI agents and integrating external tools and services via MCP servers • Experience utilizing version control tools (such as GitHub Enterprise Cloud) • A DevOps mindset characterized by automation, collaboration, continuous improvement, and a hyperfocus on user needs and frequent iteration • Strong communication skills and ability to distill technical solutions into business terms • Experience with Python is a plus, but not required.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Stock options