Data & Analytics Engineer

Data & Analytics Engineer at True Classic, onsite in Los Angeles, CA, responsible for owning data platform infrastructure and connecting the data warehouse to AI, finance, and business stakeholders.

Responsibilities

• Develop and sustain modular dbt models adhering to standards for testing, documentation, and code quality
• Support open data model workstreams across inventory, media, and product domains to drive completion
• Broaden data source integrations and extend pipeline coverage into marketing and fulfillment systems
• Maintain and optimize ETL/ELT workflows using Daasity and Google BigQuery
• Monitor and tune cloud data infrastructure for cost efficiency and performance
• Deploy and sustain Omni dashboards built on BigQuery for cross-functional stakeholders
• Structure financial data to enable KPI tracking, including forecasting, cost modeling, and channel-level P&L analyses
• Contribute to predictive modeling for demand forecasts, inventory planning, and revenue projections
• Build and maintain the data serving layer used by the AI team, providing clean, modeled BigQuery tables instead of direct API calls
• Leverage AI coding tools (Claude Code, Cursor, Copilot) daily to author dbt models, troubleshoot pipelines, and speed development
• Collaborate with the AI team to ensure warehouse outputs support automation, ML models, and real-time operations tools
• Identify AI-enabled opportunities to automate data quality checks, anomaly detection, and pipeline monitoring

Requirements

• 4+ years of experience in data engineering or analytics engineering
• Solid grasp of data engineering fundamentals, including pipeline design, data modeling, testing, and documentation
• Practical experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development
• Proficient SQL skills covering joins, window functions, and common table expressions (CTEs)
• Python proficiency for scripting data pipelines, API integrations, and light modeling tasks
• Experience with statistical modeling and predictive analytics, including regression and time series
• Ability to translate business questions for non-technical stakeholders 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

Cross Functional Collaboration

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

Workplace Arrangement

• On-site role, five days per week in the office, based in Calabasas, CA

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

Compensation and Benefits

• Compensation: Competitive salary plus bonus
• Time Off: Unlimited PTO and sick time
• Health & Wellness: Company-paid medical, dental, and vision; $100/month Health & Wellness stipend; Free 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