Analytics Engineer

SupplyHouse.com

. Design and build a layered, version-controlled data model in BigQuery using Dataform .

Posted 10/2/2026full-timeUnited StatesJuniorMid-Level💰 $72,440 - $90,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling and transformation, with strong SQL skills and experience in building production-ready data models in cloud environments. Proficient in implementing automated data testing and continuous integration while collaborating with stakeholders to ensure reliable reporting.

Highest-signal resume keywords

Data Modeling ExperienceStrong SQL SkillsData Transformation FrameworksVersion Control (Git)Automated Data Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLDataformDbtVersion ControlAutomated TestingData Lineage DocumentationDimensional Data ModelingProduction-Ready Data ModelsCloud Data Warehouse

Certifications & Qualifications

Bachelor's Degree in Quantitative Field

Industry Keywords

Business IntelligenceData AnalyticsSelf-Service ReportingData GovernanceData Ingestion

Tech Stack

Tools & technologies

BigQueryCloudSQL

About the role

Key responsibilities & impact

Design and build a layered, version-controlled data model in BigQuery using Dataform
Migrate business logic from ad hoc scheduled queries into governed, reusable, tested models
Define and own canonical definitions of core business metrics
Implement automated data testing and continuous integration
Document models, definitions, and data lineage
Partner with analysts and business stakeholders to support reliable self-service reporting
Partner with IT to support accurate and timely raw data ingestion
Help evaluate and shape the future BI layer
Report to the Senior Manager of Data Analytics
Build SupplyHouse.com's production data layer and make high-quality data accessible and actionable across the organization

Requirements

What you’ll need

Bachelors degree in a quantitative, technical, or related field
2+ years of data modeling experience
Strong SQL skills and hands-on experience building production-ready data models within a cloud data warehouse
Hands-on experience using a data transformation framework, such as dbt, Dataform, or a comparable tool
Software engineering fundamentals applied to analytics: version control (Git), testing, code review, and CI
Layered or dimensional data modeling experience, with a track record of maintainable, well-documented datasets
Applicants must be currently authorized to work in the U.S. on a full-time basis
Willingness to work Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility
Ability to pass a thorough background check

Benefits

Comp & perks

Comprehensive and affordable medical, dental, vision, and voluntary life insurance options
401(k) with up to 4% company match
Paid vacation, sick time, and holidays
Company-paid basic life insurance and long-term disability
Discounted auto, home, and pet insurance programs
Flexible Spending Account (FSA)
Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP)
Company-provided equipment and one-time $250 work from home stipend
$750 annual professional development budget
$25 monthly Grubhub credit
Company rewards and recognition program
Ownership for All program with financial benefit from company growth and accomplishments
Wellness initiatives and Flex-Time Policy
Annual merit and bonus opportunities
Hands-on training
Diversity and inclusion initiatives
Internal mobility options
Volunteer Paid Time Off
Donation drives and employee-nominated contributions
Monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form