Data & Analytics Engineer

True Classic is seeking a Data & Analytics Engineer to own the data platform infrastructure and connect the data warehouse to AI initiatives, finance teams, and business stakeholders. Based in Los Angeles, CA, this onsite role emphasizes building clean, reliable data pipelines and robust analytics engineering to support cross-functional decision making.

Responsibilities

• Develop and maintain dbt models adhering to modular design, thorough testing, documentation, and code quality standards
• Contribute to open data model workstreams across inventory, media, and product domains
• Expand data source connectivity and pipeline coverage across marketing and fulfillment systems
• Maintain and improve ETL/ELT workflows via Daasity and BigQuery
• Monitor and optimize cloud data infrastructure for cost and performance
• Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders
• Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L
• Contribute to predictive models for demand forecasting, inventory planning, and revenue projections
• Build and maintain the serving layer that the AI team queries, providing clean, modeled BigQuery tables in place of direct API calls
• Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development
• Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools
• Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring

Requirements

• 4+ years of experience in data engineering or analytics engineering
• Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation
• Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development
• Strong SQL skills including joins, window functions, and CTEs
• Python proficiency for pipeline scripting, API integrations, and light modeling
• Familiarity with statistical modeling and predictive analytics (regression, time series)
• Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations
• Proficiency with AI coding tools, with daily use expected

Technologies

• dbt Cloud
• dbt
• Google BigQuery
• Daasity
• Python
• SQL
• Claude Code
• Cursor
• Copilot
• Looker
• GitHub
• Shopify

Benefits

• Company-paid medical, dental, and vision insurance
• Unlimited PTO and sick time
• Health & Wellness stipend ($100/month)
• Free Employee Assistance Program (EAP)
• Personal Workspace/Office stipend ($100/month)
• Merchandise allowance ($1,000/year)
• 401(k) plan with 3% company match

Cross Functional Collaboration

• Work with finance to ensure financial data structures support forecasting and P&L reporting needs
• Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications
• Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations

Workplace Arrangement

This role is on-site (5x week in office) based in Calabasas, CA.

Compensation and Benefits

• Compensation: Competitive Salary + bonus
• Time Off: Unlimited PTO and sick time
• Health & Wellness: Company-paid medical, dental, and vision insurance; $100/month Health & Wellness stipend; Free Employee Assistance Program (EAP)
• Work & Growth Support: $100/month Personal Workspace/Office stipend
• Perks: $1,000/year True Classic merchandise allowance; 401(k) plan with 3% company match