Pipelines a US team can trust, with tools such as Airflow, dbt, or Spark.

You build pipelines a US team can schedule and trust. A pipeline feeds a report or a product feature. It fails a check when the data is wrong, instead of quietly shipping a bad number.

What you do on the team

Build a pipeline that feeds a report or a product feature

Make it fail a check when the data is wrong

Schedule it so the team does not run it by hand

Use AI tools to draft a model or a SQL check, then compare the output to the source before it is scheduled

Match Airflow, dbt, or Spark to the stack the team already uses

Talk through a bad number with the team before the pipeline stays on

The stack

SQL

The warehouse the team uses

Airflow, dbt, or Spark, matching the stack

Tests or freshness checksThe scheduler

The report or feature that reads the output

What we look for

A pipeline that feeds a report or a product feature

SQL and a warehouse the team already uses

Tests or checks that fail when the data is wrong

5 or more years in data or software engineering

How we check




We review work you have shipped. A keyword on a resume is not enough. You need advanced or fluent English. You will be in standups, code reviews, and Slack with a US team. You use AI tools to draft a model or a SQL check, then you compare the output to the source before it is scheduled. Every engineer is assessed on the four-level AI fluency scale before a client meets them. See the four levels .

How a placement runs
You join the client team and work in their repo, their standups, and their code reviews. You work US business hours from Mexico, Costa Rica, Colombia, Peru, Brazil, Chile, Argentina, or Uruguay. The placement is almost always a full-time contract. You are paid the same amount every month in US dollars. The monthly invoice is for bookkeeping.

BetterEngineer introduces senior engineers in Mexico, Costa Rica, Colombia, Peru, Brazil, Chile, Argentina, and Uruguay to US product teams. You work in the client repo. Candidates never pay anything.

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📌 Data engineer (Nezahualcóyotl)
🏢 BetterEngineer
📍 Nezahualcóyotl