Data & Analytics Engineer

True Classic is seeking a Data & Analytics Engineer to own the data platform infrastructure and connect the data warehouse to AI, finance, and business stakeholders. The role emphasizes building clean, well-structured data pipelines, solid modeling, testing, and documentation, with the work centered in Calabasas and onsite collaboration across teams. This position suits someone who thrives in a data-driven environment and enjoys translating complex questions into reliable analytical solutions.

Responsibilities

• Develop and sustain modular dbt models with emphasis on testing, documentation, and high code quality.
• Contribute to advancing open data model workstreams across inventory, media, and product domains.
• Broaden data source connections and extend pipeline coverage across marketing and fulfillment ecosystems.
• Maintain and enhance ETL/ELT workflows using Daasity and BigQuery.
• Monitor and optimize cloud data infrastructure for cost efficiency and performance.
• Design and maintain Omni dashboards built on BigQuery for cross-functional visibility.
• Structure financial data to support KPI tracking, forecasting, cost modeling, and channel-level P&L.
• Contribute to predictive modeling for demand forecasting, inventory planning, and revenue projections.
• Build and maintain the serving layer used by the AI team, providing clean, modeled BigQuery tables instead of direct API calls.
• Leverage AI coding tools such as Claude Code, Cursor, and Copilot daily to author dbt models, debug pipelines, and accelerate development.
• Collaborate with the AI team to ensure the warehouse delivers clean inputs for automation, ML models, and real-time operations tools.
• Identify opportunities for AI-driven automation of data quality checks, anomaly detection, and pipeline monitoring.
• Partner with finance to ensure financial data structures support forecasting and P&L reporting needs.
• Collaborate with the AI team to ensure warehouse outputs enable downstream automation and machine learning applications.
• Work with merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations.

Requirements

• 4+ years of experience in data engineering or analytics engineering.
• Strong understanding of data engineering best practices, including pipeline design, data modeling, testing, and documentation.
• Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development.
• Proficient SQL skills, including joins, window functions, and common table expressions.
• Python proficiency for pipeline scripting, API integrations, and light modeling.
• Familiarity with statistical modeling and predictive analytics (regression, 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
• Google BigQuery
• Daasity
• Looker
• GitHub
• Claude Code
• Cursor
• Copilot
• Python
• SQL

Benefits

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

Workplace arrangement

This role is on-site, five days a week in the office based in Calabasas, CA.