Daasity Data Jobs

1 job found

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

Benefits and culture

Competitive salary plus bonus opportunities
Unlimited PTO and sick time
Company-paid medical, dental, and vision insurance
Health and Wellness stipend of $100 per month
Free Employee Assistance Program (EAP)
Personal workspace stipend of $100 per month
Annual merchandise allowance of $1,000
401(k) plan with 3% company match

The Data & Analytics Engineer role at True Classic is based onsite in Calabasas, CA and centers on owning the data platform infrastructure while connecting the data warehouse to AI, finance, and business stakeholders. The position emphasizes clean, well-structured pipelines, robust modeling, thorough testing, and clear documentation to enable reliable insights and automated workflows.

Role overview

As part of the team, you will design and operate the data foundation that supports cross-functional analytics and AI initiatives, ensuring data quality and accessibility for forecasting, planning, and decision making.

Responsibilities

Design, build, and maintain modular dbt models with emphasis on testing, documentation, and code quality
Contribute to completing open data model workstreams across inventory, media, and product domains
Expand data source connections and broaden pipeline coverage for marketing and fulfillment systems
Maintain and improve ETL and ELT workflows using Daasity and BigQuery
Monitor and optimize cloud data infrastructure for cost efficiency and performance
Deploy Omni dashboards on top of BigQuery to provide cross-functional visibility
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 queried by the AI team with clean, modeled BigQuery tables
Use AI coding tools daily to write dbt models, debug pipelines, and accelerate development
Collaborate with the AI team to ensure warehouse outputs support automation and real-time ops tools
Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring
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
Collaborate 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
Solid SQL skills with 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)
Comfort translating business questions to data models and visualizations for non-technical stakeholders
Proficiency with AI coding tools; daily use expected

Technologies

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

Location and work model

This position is on-site in Calabasas, CA, requiring five days per week in the office.

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