{"schemaVersion":"jobsearcher.job.v1","id":"3e3ccde9691611ce547dfd8d","url":"https://jobsearcher.com/jobs/3e3ccde9691611ce547dfd8d","canonicalUrl":"https://jobsearcher.com/jobs/3e3ccde9691611ce547dfd8d","title":"Data & Analytics Engineer","description":"True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.\nThis role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.\nAll of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.\nAreas of Accountability\nExtend & Maintain the Data Platform\nBuild and maintain dbt models following best practices for modularity, testing, documentation, and code quality\nContribute to completion of open data model workstreams across inventory, media, and product functions\nExpand data source connectivity and pipeline coverage across marketing and fulfillment systems\nMaintain and improve ETL/ELT workflows via Daasity and BigQuery\nHelp monitor and optimize cloud data infrastructure for cost and performance\nBridge Data to the Business\nDeploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders\nSupport business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L\nContribute to predictive models for demand forecasting, inventory planning, and revenue projections\nBuild and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls\nAI-Augmented Development\nUse AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development\nCollaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools\nIdentify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring\nCross Functional Collaboration\nWork with finance to ensure financial data structures support forecasting and P&L reporting needs\nPartner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications\nWork alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations\nQualifications\n4+ years of experience in data engineering or analytics engineering\nStrong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation\nHands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development\nStrong SQL skills including joins, window functions, and CTEs\nPython proficiency for pipeline scripting, API integrations, and light modeling\nFamiliarity with statistical modeling and predictive analytics (regression, time series)\nComfortable working with non-technical stakeholders to translate business questions into data models and visualizations\nProficiency with AI coding tools — daily use expected\nPreferred Qualifications\nNetSuite or ERP experience\nDaasity, Shopify/Amazon data\nMarketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),\nOmni/Looker, GitHub-based workflows\nWorkplace Arrangement\nThis role is on-site (5x week in office) based in Calabasas, CA.\nCompensation and Benefits\nCompensation\nCompetitive Salary + bonus\nTime Off\nUnlimited PTO and sick time\nHealth & Wellness\nCompany-paid medical, dental, and vision insurance\n$100/month Health & Wellness stipend\nFree Employee Assistance Program (EAP)\nWork & Growth Support\n$100/month Personal Workspace/Office stipend\nPerks\n$1,000/year True Classic merchandise allowance\n401(k) plan with 3% company match","company":"Trueclassic","rawCompany":"trueclassic","city":"Calabasas","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-02T03:13:12.857Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data & Analytics Engineer","description":"True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.\nThis role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.\nAll of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.\nAreas of Accountability\nExtend & Maintain the Data Platform\nBuild and maintain dbt models following best practices for modularity, testing, documentation, and code quality\nContribute to completion of open data model workstreams across inventory, media, and product functions\nExpand data source connectivity and pipeline coverage across marketing and fulfillment systems\nMaintain and improve ETL/ELT workflows via Daasity and BigQuery\nHelp monitor and optimize cloud data infrastructure for cost and performance\nBridge Data to the Business\nDeploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders\nSupport business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L\nContribute to predictive models for demand forecasting, inventory planning, and revenue projections\nBuild and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls\nAI-Augmented Development\nUse AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development\nCollaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools\nIdentify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring\nCross Functional Collaboration\nWork with finance to ensure financial data structures support forecasting and P&L reporting needs\nPartner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications\nWork alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations\nQualifications\n4+ years of experience in data engineering or analytics engineering\nStrong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation\nHands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development\nStrong SQL skills including joins, window functions, and CTEs\nPython proficiency for pipeline scripting, API integrations, and light modeling\nFamiliarity with statistical modeling and predictive analytics (regression, time series)\nComfortable working with non-technical stakeholders to translate business questions into data models and visualizations\nProficiency with AI coding tools — daily use expected\nPreferred Qualifications\nNetSuite or ERP experience\nDaasity, Shopify/Amazon data\nMarketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),\nOmni/Looker, GitHub-based workflows\nWorkplace Arrangement\nThis role is on-site (5x week in office) based in Calabasas, CA.\nCompensation and Benefits\nCompensation\nCompetitive Salary + bonus\nTime Off\nUnlimited PTO and sick time\nHealth & Wellness\nCompany-paid medical, dental, and vision insurance\n$100/month Health & Wellness stipend\nFree Employee Assistance Program (EAP)\nWork & Growth Support\n$100/month Personal Workspace/Office stipend\nPerks\n$1,000/year True Classic merchandise allowance\n401(k) plan with 3% company match","datePosted":"2026-08-02T03:13:12.857Z","dateModified":"2026-08-02T03:13:12.857Z","hiringOrganization":{"@type":"Organization","name":"Trueclassic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Calabasas","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3e3ccde9691611ce547dfd8d"},"url":"https://jobsearcher.com/jobs/3e3ccde9691611ce547dfd8d"}}