Analytics Engineer

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. Partner with Finance, Sales, Operations, and venue teams to understand needs and create trusted models and metrics .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $120,000 - $160,000 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 building and maintaining dbt models and optimizing data warehouse performance in Snowflake. Proficient in SQL and experienced in using ELT tools like Fivetran for effective data ingestion and governance.

Highest-signal resume keywords

SQL SkillsDbt Model DevelopmentSnowflake ExperienceFivetran ProficiencyData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData EngineeringBI DevelopmentDimensional ModelingMedallion LayeringSchema Drift TroubleshootingTesting and DocumentationConversational Analytics TestingPerformance OptimizationAI Agent Utilization

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

FivetranDbtSnowflakeThoughtSpot

Industry Keywords

Data GovernanceSelf-Service AnalyticsData Freshness MonitoringPipeline Health

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Partner with Finance, Sales, Operations, and venue teams to understand needs and create trusted models and metrics
Set up and maintain Fivetran connectors, land data in bronze, and handle schema drift and load failures
Build dbt models through bronze, silver, and gold layers
Define and maintain the semantic layer, including metrics, dimensions, relationships, synonyms, and descriptions
Build ThoughtSpot models and Liveboards for self-service analytics
Test conversational analytics using golden question sets and regression suites
Support data governance through sensitive-data tagging, tag-based masking, and row access policies
Monitor data freshness, quality, and pipeline health
Optimize query and model performance, warehouse sizing, and Snowflake costs
Use AI agents for end-to-end data tasks while applying review and quality standards
Collaborate with analytics engineers, business partners, and the Data Platform team

Requirements

What you’ll need

3+ years in analytics engineering, data engineering, or BI development
Strong SQL skills
Experience building and maintaining dbt models in production
Experience with a cloud data warehouse, ideally Snowflake
Experience with ELT ingestion tools such as Fivetran
Ability to troubleshoot schema changes, late-arriving data, and API limits
Understanding of dimensional models, medallion layering, grain, slowly changing dimensions, and event lifecycles
Experience building dashboards or self-service data products
Habit of testing and documenting work
Experience using AI agents for multi-step work such as writing SQL and dbt models, generating tests, and drafting documentation
Ability to explain work clearly to technical and non-technical partners

Benefits

Comp & perks

Day-one health coverage for you and your family
24/7 virtual care
Emotional well-being support
Fertility and family planning benefits
Generous PTO
Birthday off
Paid parental leave
Year-end holiday closure
401K with company match
Support for education, courses, and certifications
Ongoing career growth opportunities
Recognition programs
Volunteer and give-back opportunities