Senior Analytics Engineer

HubSpot

Analytics Engineer building data foundations for analytics and ML products at HubSpot. Collaborating across teams and optimizing data pipelines for decision-making.

Posted 7/17/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSenior💰 $136,000 - $204,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and optimizing data pipelines, data modeling, and analytical tools, with a strong focus on collaboration and effective communication across technical and non-technical teams. Proficient in utilizing modern data tools and practices to support data observability and pipeline reliability.

Highest-signal resume keywords

SQL ProficiencyData ModelingETL/ELT ExperienceHands-On dbt ExperienceFamiliarity with Snowflake

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data TransformationSlowly Changing Dimension (SCD) TablesSemantic ModelsAnalytical Applications DevelopmentData Pipeline Documentation

Soft Skills

Effective CommunicationCollaborative MindsetAttention to Detail

Tools & Technologies

DbtLookerSnowflakeGitHub Enterprise CloudHex

Industry Keywords

Data PipelinesData ObservabilityAnalytics Best PracticesCross-Functional Data InitiativesAI-Assisted Development

Tech Stack

Tools & technologies

CloudETLSQL

About the role

Key responsibilities & impact

Build and optimize data pipelines and analytical tools for scale
Collaborate with both technical and non-technical areas of the business
Contribute to core data assets for equitable book of business assignments
Build and maintain semantic models for analytics and AI consumption
Build out scalable data models for the HubSpot business
Expand suite of dbt patterns and macros
Support data observability and pipeline reliability
Build analytical applications in Hex
Gather requirements with internal stakeholders
Document data pipelines, processes, and best practices
Contribute to shared analytics best practices across HubSpot’s broader data community

Requirements

What you’ll need

Working knowledge of modern data tools (such as Snowflake, dbt, and Looker)
Proficiency in SQL, data modeling, ETL, ELT, and data transformation
Hands-on dbt experience including modeling patterns, macros, and testing
Experience developing slowly changing dimension (SCD) tables from multiple sources
Comfort working through inherited complexity
Effective communication across multiple modes
Experience writing and reviewing technical documents
Experience contributing to cross-functional data initiatives
Familiarity with semantic models or metric layers for analytics consumption
Comfort with AI-assisted development tools
Experience utilizing version control tools (such as GitHub Enterprise Cloud)
A collaborative mindset with strong attention to detail

Benefits

Comp & perks

cash compensation includes base salary and target commission
equity plan participation with RSUs
eligible for overtime pay
individual compensation packages tailored to skills and experience