Senior Data Engineer

Andiamo; New York (NY); Remote; USD 140,000 - 190,000; Full time

Job summary

Andiamo is looking for a Data Engineer to create data pipelines and enhance data quality in a fast-growing marketplace. This position plays a critical role in turning data into actionable insights, requiring strong SQL and Python skills along with experience in modern orchestration tools.

Benefits

401(k)

Medical insurance

Vision insurance

Flexible Location

Competitive Package

Qualifications

• 5+ years of data engineering experience.
• Expert SQL skills and strong Python proficiency.
• Experience with orchestration tools like Airflow.

Responsibilities

• Build and optimize data pipelines for reliability.
• Model data layers supporting analytics and reporting.
• Champion data quality and governance standards.

Skills

SQL

Python

Data Quality

Data Governance

CI/CD

Automated Testing

Version Control

Job description

This range is provided by Andiamo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00/yr - $190,000.00/yr

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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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Design, Engineering, and Information Technology

• Industries

  Food and Beverage Services, Information Services, and Technology, Information and Media

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Inferred from the description for this job

401(k)

Medical insurance

Vision insurance

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