Company name will be shared upon confirmed interview

Analytics Engineer for a Next-Generation AI & Commerce Data Platform.

New York, New York, United States (REMOTE)

An AI-native data platform built specifically for modern commerce brands, helping teams unify fragmented data, turn it into reliable business context, and deploy AI agents that drive real action. Founded by former Glossier executives, the company is building the infrastructure for the next generation of intelligent, data-driven commerce.

Salary up to:US$4,500

Timezone: GMT-5

Industries: Data Infrastructure and Analytics

Website:sensitive

As an Analytics Engineer, you’ll have the opportunity to own and shape the data models that power a next-generation, AI-driven commerce platform. The role focuses on transforming complex, multi-source data into reliable, scalable, and trusted insights used across the product. You’ll work across the full data lifecycle, ensuring data quality through testing, monitoring, and rapid issue resolution. The position involves translating business questions into clear data models and communicating insights to both technical and non-technical stakeholders. You’ll collaborate closely with cross-functional teams, building a strong foundation of data trust through clear documentation and robust modeling.

Tech Stack

PPython

Snowflake

Airflow

SQL

DBT

5+ years in data modeling

Deep dbt fluency — incremental models, macros, packages, snapshots, tests, and the discipline to keep a big project from turning into a mess.

Strong SQL and hands-on experience with Snowflake; BigQuery is a plus.

Python for ingestion and small tools, with Git, code review, and CI as everyday habits.

Production experience running pipelines in Dagster, Airflow, or Prefect.

Clear writing, documented as you go — for teammates, for customers, and for the AI agents that will read it literally.

Every job requires English proficiency, being based in LATAM.

Bonus Skills

Looker and LookML, Cube.js and other related tools, marketing and attribution analytics, cohorts, lineage and observability tools, and AWS.

Interview process

Time to hire:10-14 days

BEON.TECH ASSESSMENT STAGE

Initial Interview

30 min

Technical Interview

1 hr

THE CLIENT STAGE

Technical Interview

1:30 hr

Cross Functional Interview

TBD

Cultural Interview

TBD

We are committed to provide equal opportunities

BEON.tech connects the brightest Latin American talent with the most innovative and disruptive U.S. companies. You'll get access to a custom vetted pool of full-time, remote software jobs with compensation comparable to U.S.-based positions. To join BEON.tech is to be in a devs-first company, which means you are the priority when it comes to decision-making, client selection, and growth planning. Develop your career at the pace you deserve.

Trip to Headquarters in Buenos Aires

A US$ 1,000 welcome package to get you started with the right gear

USD compensation comparable to U.S.-based positions

English conversation club & workshops

Health insurance

Psychotherapy sessions

Flexible payments in crypto, wire transfer, Wise, PayPal, or Payoneer

Unlimited reskilling in Udemy, Education IT & O'Reilly

Internet service

AI Tools & Learning Program

Co-working spaces

Paid time off

Participate in weekly challenges and win quarterly prizes.Top performers earn US$750 (1st place) and US$350 (2nd place).

In this role, you'll be expected to take ownership of the following responsibilities as part of your day-to-day work:

Own the data models that feed everything at the company — from raw source tables through to the ones people actually query.

Catch broken data before a customer does. That means tests, freshness checks, and triaging fast when pipelines fail.

Fix problems at the source, which means understanding the full pipeline, from ingestion to the dashboard someone's staring at.

Take a business question, build the model that answers it, and explain the answer to someone who's never written a line of SQL.

Write documentation clear enough for a new teammate, a customer, or an LLM to use as ground truth.

Year founded: 2020

Company size: 11-50

Funding: 7M

Key details to catch your eye

Opportunity to shape the data foundation of a fast-moving, AI-first product.

AI-native data platform built to power the next generation of intelligent commerce.

Build critical data infrastructure that enables reliable business intelligence and AI-powered applications.

Highlights

Household-name customers: It powers mid-market and enterprise brands such as MrBeast, Ritual, Ruggable, Rodan + Fields and Blue Bottle Coffee. Together they bring in more than $1B in annual revenue.

Strong momentum: It raised $7M in April 2026 in a round led by Equal Ventures, with M13, Chingona Ventures and CEAS Investments also investing. Usage of its AI Copilot has tripled.

Three-layer platform: A unified Data Foundation, a Context Layer that keeps AI accurate, and AI Agents that optimize spend, refine audiences and take action across the commerce stack.

Culture

Builder mindset: It looks for people who are curious, entrepreneurial, inclusive and thoughtful, and who enjoy taking ownership from day one.

Cross-functional collaboration: Engineers work in product teams alongside Product, Customer Success and Data, so ideas move quickly from whiteboard to production.

Growth-oriented: Pairing sessions, mentorship and support for each engineer’s development are built into how the team works.

Analytics Engineer for a Next-Generation AI & Commerce Data Platform. - BEON.tech

Company name will be shared upon confirmed interview