Data Engineer

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
• Strong 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.