Daasity Engineer Jobs

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2d ago

Data & Analytics Engineer

True Classic Calabasas, CA

Calabasas, CA

2d ago

Full time Analytics Bigquery Business Intelligence

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Job Description

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.

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