Lead Analytics Engineer

ComputerCare

. Own, maintain, optimize, and scale the Snowflake data warehouse, transformation layer, and ETL/ELT pipelines .

Posted 9/16/2026full-timeRemote • United StatesSenior💰 $145,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Snowflake data warehouse management, including architecture, performance tuning, and optimization, while effectively building data models and automated dashboards to support operational goals. Proficient in advanced SQL and familiar with BI tools like Tableau and Looker for impactful data storytelling.

Highest-signal resume keywords

Snowflake Data Warehouse ManagementAdvanced SQL SkillsETL Tools ExperienceData Modeling and Pipeline BuildingBI Tool Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingPipeline BuildingSQLData TransformationData Quality StandardsData AutomationData AnalysisData IntegrationDashboard DevelopmentData Storytelling

Soft Skills

Problem SolvingCommunicationPrioritizationCollaborationAdaptability

Tools & Technologies

SnowflakeTableauLookerHEXCeligoFivetranDbtNetSuiteJiraCustom API Scripting

Industry Keywords

Analytics EngineeringData EngineeringETL/ELT PipelinesOperational ReportingMetric Definitions

Tech Stack

Tools & technologies

ETLSQLTableau

About the role

Key responsibilities & impact

Own, maintain, optimize, and scale the Snowflake data warehouse, transformation layer, and ETL/ELT pipelines
Build and operate reliable ingestion integrations from NetSuite, Jira/service platforms, and custom applications
Monitor pipelines, troubleshoot failures, and ensure accurate, reliable data delivery
Own the BI layer, currently utilizing HEX, and evaluate or migrate to Tableau or Looker as the company scales
Partner with the COO to translate operational goals into data models, dashboards, and actionable insights
Establish metric definitions, documentation, testing, data-quality standards, and maintain the metric dictionary
Communicate when data is incomplete or should not be relied upon
Automate recurring operational reporting, ad hoc analysis, SLA reporting, and client review data
Experiment with new tools and models to improve problem-solving
Serve as the primary data consultant for operations, finance, and engineering leaders
Translate operational challenges into data models and automated dashboards
Work across data engineering and data analytics, including pipeline building, data modeling, BI, dashboards, and data storytelling

Requirements

What you’ll need

5+ years of experience across analytics engineering, data engineering, or analytics
Meaningful experience building data models and pipelines that others depend on
Experience as the first or only data practitioner strongly preferred
Strong, hands-on experience with Snowflake, including architecture, performance tuning, and optimization
Advanced SQL skills
Experience with integration/ETL tools such as Celigo, Fivetran, dbt, or custom API scripting highly valued
Experience building impactful dashboards
Familiarity with HEX is a major plus
Experience with Tableau, PowerBI, or Looker required
Experience working with data from ERPs such as NetSuite, project management tools such as Jira, and custom web applications
Ability to operate with limited structure, identify high-value analytics work, set priorities, and deliver from problem definition through completion

Benefits

Comp & perks

Comprehensive Medical, Dental, and Vision plans
401(k) with employer match
Company-paid Life Insurance
HSA & FSA options
Employee Assistance Program (EAP)
Adoption Assistance
Commuter Benefits
Free Coursera Professional Certifications
Generous vacation & sick time
Paid time off to give back to your community