Data Engineer

David is hiring a Data Engineer to co-own its data infrastructure and build AI-powered workflows that reduce manual work. The role develops reliable data pipelines, trusted data models, reporting tools, and automations using operational, finance, retail, e-commerce, and supply chain data.

Responsibilities

• Design, build, and maintain ETL pipelines from source systems (NetSuite, Shopify, retail platforms/EDI, etc) into BigQuery, with automated testing, monitoring, and alerting for data quality
• Develop canonical, well-documented dbt models for spanning sales, inventory, fulfillment, financials, and our in-house S&OP platform that serve as the trusted foundation for reporting and analytics
• Partner with Finance, Retail, Supply Chain, and Growth to turn business requirements into data solutions, and help set standards for modeling, documentation, and governance
• Co-own our semantic layer and BI tooling (Omni): model curation, metric definitions, and the reporting leadership relies on
• Design and deploy AI-powered workflows for document parsing, data extraction, classification, and enrichment as part of data pipelines and operational processes
• Implement evaluation frameworks and human-in-the-loop patterns to ensure reliability and accuracy of AI-driven outputs
• Manage credentials, sensitive data, and third-party integrations, and design workflows with appropriate access controls and guardrails
• Build scripts, automations, and lightweight internal tools that replace manual processes, working alongside engineers who own application development
• Automate recurring reporting and ad hoc analyses to support organizational visibility to key metrics

Preferred

• TypeScript and full-stack experience (Next.js/React, Postgres), agent frameworks and orchestration, semantic layer / BI modeling (Omni, Looker), and experience with ERP, supply chain, or CPG data
• TypeScript
• Full-Stack Development
• Next.js
• React
• PostgreSQL
• Agent Frameworks
• Orchestration
• Semantic Layer Modeling
• Business Intelligence Modeling
• Omni
• Looker
• ERP Data
• Supply Chain Data
• CPG Data

Benefits

• Cash bonus based on attainment of company targets
• Company equity opportunity
• 100% covered Health, Vision, Dental Insurance
• 401(k)
• Covered gym expenses
• Substantial and required PTO

Company

• High-protein, low-calorie, blood-sugar-friendly foods and protein bars.
• New York, New York, USA
• https://davidprotein.com/
• Founded in 2023
• 51-200 employees

Qualifications

• 2+ years of professional experience in data engineering, analytics engineering, or a closely related technical role
• Strong SQL and data modeling skills: you can design clean, well-documented models from messy operational and ERP data, and you understand dimensional modeling and incremental transformation patterns
• Production experience with dbt and a cloud data warehouse
• Proficiency in Python for pipelines, automation, and data workflows: clean, testable code with proper version control
• Working fluency with modern AI tooling
• A track record of building pipelines, systems, or automations that other people actually depend on in a professional setting, a side project, or an open-source contribution
• The ability to operate independently while clearly communicating priorities and initiatives to the rest of the team
• Humble, self-aware, and curious
• A desire to build an early stage CPG company with a mission to help people increase muscle and decrease fat
• TypeScript and full-stack experience (Next.js/React, Postgres), agent frameworks and orchestration, semantic layer / BI modeling (Omni, Looker), and experience with ERP, supply chain, or CPG data
• 2+ years of professional experience in data engineering, analytics engineering, or a closely related technical role.

Required skills

• BI Modeling Looker, BI Modeling Omni, Cloud Data Warehousing, Data Modeling, Dbt, ERP, Supply Chain, and CPG Data, Next.js, PostgreSQL, Python, React, SQL, TypeScript

Experience

• 2+ years