Data Engineer

About us

EVERY™ is a leading VC-backed food tech ingredient company and market leader using precision fermentation to create animal proteins without the animal for the global food and beverage industry. EVERY™ is a team of passionate change-makers who are reimagining the factory farm model with a kinder, more sustainable alternative. Leveraging precision fermentation to produce hyper-functional and one-to-one replacement proteins from microorganisms, EVERY™ is on a mission to decouple the world’s proteins from the animals that make them. We are a passionate, determined (and fun!) team with a vital objective, and we're on the lookout for like-minded people to join our mission. For more information, visit

The Role:

We’re looking for a Data Engineer who can bridge the gap between data analysis and software engineering. This is a hybrid role for someone excited to work across systems, dig into messy data, and build tools and pipelines that help teams make better decisions, faster.

You are a technical expert who will partner closely with stakeholders across science, product, and operations, helping us translate questions into clean and useful insights. This role is part of our long-term data strategy and will own key parts of our analytics reporting services while supporting the organization’s data infrastructure.

What you'll accomplish

• Bring dashboards to life for teams across R&D, manufacturing, supply chain, and business operations, making it easier for them to access the data they need, while eliminating manual work or processing complex spreadsheets.


• Cut down reporting delays by connecting backend systems (like BigQuery and Cloud SQL) to intuitive dashboards and tools that surface real-time insights.


• Take ownership of internal data tools , helping keep it running smoothly while making quick improvements when bugs or user requests come up.


• Scale our data systems and company tools as business needs expand.


• Partner with stakeholders to understand what really matters , then turn those needs into usable, self-serve tools and dashboards that make decisions faster and more accurate.


• Write clean, maintainable code in SQL and Python that powers everything from dashboards to lightweight backend fixes—removing blockers and improving the flow of information across the org.


• Jump in where needed on smaller data and analytics projects whether that’s building a quick connector, refactoring an API, or filling a gap in reporting.

What you bring (required)

• 3–5+ years of experience in data engineering , data analysis, or full-stack data roles


• Strong SQL skills , with experience modeling data for reporting and decision-making (e.g., via dbt, Looker, or custom dashboards)


• Strong experience in Python for scripting , automation, and backend data support


• Building data visualization and dashboards (Looker, Tableau, Qlikview etc.)


• Experience working with data warehouses & API integration (GCP, AWS, BigQuery preferred) and connecting them to downstream tools


• Familiarity with building or supporting internal tools and applications (Netsuite, LIMS, or similar lightweight frameworks)


• Comfortable working directly with business users to translate messy needs into clean, usable dashboards and reports


• S trong problem-solving skills and ability to move quickly in ambiguous or fast-changing environments


• Strong communicator who can work collaboratively with key stakeholders to translate complex data concepts into something actionable.

Pay Range: $130,000 - $160,000 + Stock Options

At EVERY™, pay ranges are subject to change and assigned to a job based on the location-specific market median of similar jobs according to 3rd-party salary benchmark surveys. Individual pay within that range can vary for several reasons, including skills/capabilities, experience, and available budget.

EVERY’s Dedication to Fairness

EVERY is dedicated to building a just environment based on merit and kindess. EVERY’s goal is to have a workplace that enables productivity and meaningful work for individuals from all backgrounds, experiences, and lifestyles, allowing all employees to feel comfortable being their true, authentic selves at work.

Legal authorization to work in the U.S. is required. We are not able to sponsor individuals for employment visas for this job. In compliance with federal law, all persons hired will be required to verify personal information and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected]