Senior Analytics Engineer

Instructure

. Design, build, and maintain dimensional models in dbt and Snowflake for reporting and analysis across Finance, Operations, Product Management, and other business functions .

Posted 11/6/2026full-timeRemote • United StatesSenior💰 $145,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering and data modeling, with a strong focus on dbt and Snowflake for building and maintaining dimensional models. Capable of translating complex business requirements into actionable data solutions while ensuring adherence to modeling standards and performance optimization.

Highest-signal resume keywords

Dbt ProficiencySnowflake ExpertiseDimensional ModelingAdvanced SQL SkillsData Architecture Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringDimensional ModelsIncremental ModelsData TestingSQLData ContractsLayered ModelingGrain DefinitionsPerformance TuningData Documentation

Soft Skills

Communication SkillsMentoringCollaborationProblem-SolvingBusiness Acumen

Tools & Technologies

SnowflakeDbtGitCI/CDTableauLookerPower BIAirflowSalesforceDbt Cloud

Industry Keywords

FinanceOperationsProduct ManagementSaaSEducation Technology

Tech Stack

Tools & technologies

AirflowCloudSnowflakeSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain dimensional models in dbt and Snowflake for reporting and analysis across Finance, Operations, Product Management, and other business functions
Translate business questions into clear data requirements by working with senior leaders
Own the full model lifecycle, including source ingestion, staging, intermediate and mart layers, tests, documentation, and deployment
Set and enforce modeling standards, including naming conventions, grain definitions, slowly changing dimensions, and testing practices
Tune Snowflake performance and cost through materialization choices, clustering, and warehouse sizing
Partner with data engineers and business systems teams to ensure upstream data is suitable for modeling
Review pull requests and mentor analysts and engineers
Explain data definitions and tradeoffs to non-technical audiences and challenge requests that could produce misleading metrics
Ship production models within the first 90 days
Own a major data-model domain within six months
Shape modeling standards and improve team efficiency within a year

Requirements

What you’ll need

5+ years of experience in analytics engineering, data engineering, or a similar role
Bachelor's degree in Computer Science, Information Systems, Finance, or another quantitative field is preferred
Deep hands-on experience with dbt, including macros, packages, incremental models, snapshots, and testing
Strong Snowflake skills, with advanced SQL and a good sense of performance and cost
Experience designing dimensional models, including star schemas, facts, dimensions, and conformed dimensions
Solid data architecture knowledge, including layered modeling, grain, lineage, data contracts, and maintainable project structure
Working knowledge of business functions such as finance, sales, operations, and product
Ability to discuss business issues with directors, VPs, and executives and turn discussions into data solutions
Strong written and verbal communication skills
Experience with Git-based workflows and CI/CD for data projects
Experience modeling data from CRM and business systems such as Salesforce is nice to have
Familiarity with Airflow or dbt Cloud is nice to have
Experience with Tableau, Looker, or Power BI is nice to have
SaaS or education technology company background is nice to have

Benefits

Comp & perks

Competitive compensation
Full-time employee ownership program
Flexible work culture
Generous time off, including local holidays and annual “Dim the Lights” period in late December
Comprehensive wellness programs and mental health support
Learning and development resources
Professional development tools
Tuition reimbursement
Technology and tools needed to do your best work
Motivosity employee recognition program
Inclusive, supportive culture
Background check and identity verification as part of the hiring process