Staff Analytics Engineer

Eve

. Own Eve's go-to-market data model and establish standards for the analytics engineering team .

Posted 9/15/2026full-timeRemote • California • United StatesLead💰 $225,000 - $305,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in analytics engineering, focusing on SQL, data modeling, and transformation, with a strong emphasis on building and maintaining semantic models for GTM systems. Proven ability to mentor teams, establish modeling standards, and integrate AI-assisted development tools.

Highest-signal resume keywords

Analytics EngineeringSQL ProficiencyData ModelingDbt ExpertiseSnowflake Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationSemantic ModelingMetric Layer DesignSCD Table BuildingModeling Standards DefinitionMetrics CertificationCross-Team Metric ResolutionAI-Assisted DevelopmentPipeline ModelingTesting and Documentation

Soft Skills

Strong CommunicationMentoringProblem-Solving

Tools & Technologies

HubSpotSalesforceOmniHexMCP ServersClaude Code

Industry Keywords

Go-To-MarketAnalytics EngineeringRevenue ModelsFunnel ConversionCustomer SuccessRevOps

Tech Stack

Tools & technologies

ApolloSQL

About the role

Key responsibilities & impact

Own Eve's go-to-market data model and establish standards for the analytics engineering team
Build pipeline, funnel, campaign, and revenue models from HubSpot, DealHub, Apollo, and Clay in the warehouse and semantic layer
Design, deploy, and maintain trusted semantic models for pipeline coverage, funnel conversion, CAC, win rate, sales cycle time, ARR, and bookings
Build on source-to-staging models and conformed dimensions
Instrument models for alerting to detect failures and drift
Maintain documentation for owned models, metrics, and definitions
Build internal AI agents and data-grounded tools for GTM stakeholders
Own the metrics certification framework and catalog
Define modeling standards and semantic-layer patterns
Certify governed metric definitions and arbitrate conflicting definitions across teams
Establish analytical application development patterns in Omni and Hex
Partner with Sales, Marketing, Customer Success, and RevOps stakeholders
Mentor analytics engineers and set the technical bar
Report to the Head of Data Engineering

Requirements

What you’ll need

8+ years in analytics engineering, including time at a staff or senior IC level setting technical direction others followed
Extensive proficiency in SQL, data modeling, and transformation, with deep dbt expertise: advanced modeling patterns, macros, packages, and testing
Experience building SCD tables from multiple sources
Expert knowledge of Snowflake, dbt, and a semantic or BI layer such as Omni or Hex
Experience designing semantic models or metric layers for human and AI consumption
Experience modeling GTM systems such as HubSpot, Salesforce, or similar CRM and marketing automation platforms
Experience resolving cross-team metric discrepancies and establishing one definition
Experience setting modeling standards and reviewing contributions from people outside the team
Proficiency with AI-assisted development such as Claude Code, including agentic pipeline design and skill-based workflows
Comfort integrating tools via MCP servers
Strong communication, mentoring, and comfort building where the playbook doesn't exist yet

Benefits

Comp & perks

Competitive Salary & Equity
401(k) Program with Employer Matching
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Commuter Benefits (in office employees only)
Autonomous Work Environment
Workplace Setup Reimbursement
Telecomm Stipend
Flexible Time Off (FTO) + Holidays
Quarterly Team Gatherings
In office Perks (in office employees only)