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Senior Data Engineer

Andiamo
Department:Data Engineer
Type:REMOTE
Region:USA
Location:New York, NY
Experience:Mid-Senior level
Salary:$140,000 - $190,000
Skills:
SQLPYTHONAIRFLOWDBT CLOUDFIVETRANKAFKAFLINKSNOWFLAKEAWSREDSHIFTBIGQUERYDATABRICKSMETABASESIGMAGIT
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Job Description

Posted on: July 25, 2025

Senior Data EngineerRemote – US-based Only | FoodTech / E-commerce Startup | Full-Time

Stealth-mode startup revolutionizing regional food discovery & delivery

At this time, we are unable to offer work authorization sponsorship for this role. Applicants must be legally authorized to work in the U.S. without the need for current or future sponsorship.About the Role

We are a fast-growing, consumer-focused marketplace that matches millions of customers with unforgettable food experiences. As a Senior 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 $140,000 – $190,000 (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.

Why Join Us?

We’re a fast-moving, food-obsessed team on a mission to make the country’s best dishes more accessible - no matter where you live. If you love building impactful data systems and want to help shape the future of food discovery, we’d love to hear from you.

Ready to build smarter food experiences? Apply now.

We review every application, but only those moving forward will hear from us. We appreciate your interest in joining our journey!

Reminder: At this time, we are unable to offer work authorization sponsorship for this role. Applicants must be legally authorized to work in the U.S. without the need for current or future sponsorship.

Originally posted on LinkedIn

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