Job Description

About the Role

We are a fast-growing, consumer-focused marketplace that matches millions of customers with unforgettable food experiences. As a Data Engineer, you will be the connective tissue between raw data and business-defining insights, enhancing how shoppers discover, order, and enjoy their favorite dishes nationwide.

You will collaborate with full-stack and machine-learning engineers, analysts, and product managers to design, build, and refine the data infrastructure that powers everything from real-time recommendations to revenue dashboards. If you thrive on turning messy datasets into trustworthy, actionable information at scale, we’d love to meet you.

What You’ll Do

• Build & Optimize Pipelines – Architect batch and streaming ETL/ELT workflows that move billions of records with reliability and speed.
• Model the Data Layer – Create and maintain dimensional and normalized schemas that support analytics, machine-learning, and operational reporting.
• Champion Data Quality – Define monitoring, testing, and governance standards to keep our data accurate, secure, and compliant.
• Level-Up Engineering Practices – Apply CI/CD, automated testing, and version control to every data workflow for fast, safe deploys.
• Partner Cross-Functionally – Work hand-in-hand with product, analytics, and ML teams to translate business questions into data solutions that drive growth.

What You’ll Bring

• 5+ years of hands-on experience in data engineering or analytics engineering for high-traffic products.
• Expert SQL skills and strong Python proficiency (additional languages welcome).
• Proven success with modern orchestration and streaming tools (Airflow, dbt Cloud, Fivetran, Kafka/Flink, etc.).
• Deep understanding of cloud warehouses—ideally Snowflake on AWS (Redshift, BigQuery, or Databricks also valued).
• Familiarity with BI and reporting platforms such as Metabase or Sigma.
• Comfort with Git-based workflows, automated testing, and code reviews.
• Ability to balance long-term architectural vision with day-to-day delivery in a lean, collaborative team.

Why You’ll Love It Here

• Impact at Scale – Your pipelines will touch every facet of the customer journey, from “What should I eat tonight?” to “Where’s my delivery?”.
• Modern Stack, Green-Field Projects – Help shape a data platform that’s still early enough for big technical decisions and minimal legacy baggage.
• Competitive Package – Target base salary $140 k – $190 k (commensurate with experience) plus meaningful equity and comprehensive benefits.
• Flexible Location – Work from anywhere in the U.S. with quarterly in-person meetups to stay connected.
• Mission-Driven Team – Join colleagues who believe food brings people together—and who love building tech that makes that happen every day.

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