# Data Engineer

> David Protein · New York, United States · — · Posted 2026-07-15

**Workplace:** on_site

**Department:** Finance

## Description

**Company:**

David creates tools to increase muscle and decrease fat. Our first product is a protein bar. More broadly, David is a platform to develop high-protein, low-calorie, blood-sugar-friendly foods that are craveable.

This is a compelling opportunity to join an exciting new food brand as we enter a critical growth stage. David is led by CEO Peter Rahal, the Cofounder and Former CEO of RXBAR ($600M exit to Kellogg in 2017). We have strong aspirations to become the most popular high-protein bar in North America and beyond.

**Roles & Responsibilities:**

The Data Engineer will co-own David's data infrastructure and build AI-powered workflows that eliminate manual, repetitive work across the organization. This role sits at the center of how the company turns operational data from our ERP, retail platforms, e-commerce channels, finance platforms, and supply chain systems into reliable pipelines, trusted data models, and automated workflows that are leveraged cross-functionally. 

**Data pipelines & modeling**

-   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.

**Internal tooling & automation**

-   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.

## Requirements

-   2+ years of professional experience in data engineering, analytics engineering, or a closely related technical role.
-   Technical proficiency:

-   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.

-   Nice to have: 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.
-   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.

## Benefits

-   This is a full-time role.

-   Salary: $150K - $200K per year, inclusive of cash bonus based on attainment of company targets
-   Company equity opportunity
-   100% covered Health, Vision, Dental Insurance
-   401(k)
-   Additional perks, such as covered gym expenses
-   Substantial and required PTO
-   We work in the office 5 days per week in New York City – when culture lines up, it is fun to be in the office together.

## Apply

[Apply at David Protein](https://apply.workable.com/david-protein/j/9352584CBE/apply)

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