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HubSpot

Staff Analytics Engineer

RemoteUnited States only
Published
Role
Data Engineering
Experience
Staff
Company size
Enterprise
$138.5k–$221.6k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff-level analytics engineer for a US-remote role. Needs expert SQL, modern data stack experience, deep dbt expertise, data modeling/ETL/ELT, and experience building shared data platform assets and AI-assisted workflows.

Core skills

SnowflakedbtSQL

Required skills

LookerETLELTClaude CodeMCP serversGitHub Enterprise Cloud

Optional skills

Python

What you'll do

  • Build and optimize data pipelines and analytical tools for scale
  • Own and evolve core platform assets, analytics engineering tooling, reusable patterns, and automation
  • Contribute to a composable agentic analytics engineering delivery system
  • Design and maintain semantic models for analytics and AI consumption
  • 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
  • Guide professional development of the team through technical leadership
  • Partner with stakeholders to solve business problems with technical solutions
  • Build scalable data models to analyze key parts of the HubSpot business
  • Expand dbt patterns and macros for flexible 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 manage projects through the lifecycle
  • Maintain documentation of data pipelines, processes, and best practices

What they require

  • 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 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
  • DevOps mindset characterized by automation, collaboration, continuous improvement, and frequent iteration
  • Strong communication skills and ability to distill technical solutions into business terms

Benefits

  • Annual bonus targets for eligible roles
  • Equity plan with restricted stock units for eligible roles
  • Overtime pay for eligible roles
  • Benefits and perks package
  • Remote or office flexibility
  • Accommodations or assistance due to disability

HubSpot is an AI-powered customer platform with software, integrations, and resources for customers to connect marketing, sales, and service. Its connected platform enables businesses to grow faster by focusing on customers.

🇬🇧 United KingdomCRMEnterprisehubspot.com

What people say about this company

3.9/ 5

  • Employees appreciate the company culture and values.
  • Many enjoy the flexibility and work-life balance offered.
  • Some employees mention high workloads and pressure.

Details

Apply routeDom
Also posted in 1 other channel
$138.5k–$221.6k/yr