Senior Data Engineer — 100% Remote (GCP, BigQuery)

CodeRoad Inc

Ciudad de México

Remote

MXN 1,540,000 - 3,080,000

Full time

2 days ago
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Benefits offered by this job

Remote USA contractor
Competitive USD pay
Holidays & PTO
Health insurance support
Exposure to cutting-edge tech stacks

Job summary

CodeRoad Inc seeks an experienced Data Engineer to architect and scale data models, lead architectural decisions, and build production-grade data services on Python-based stacks. You will streamline pipelines using Airflow or Cloud Composer and collaborate with Finance and Operations leaders.

You will work 100% remotely for US-based clients, earning competitive USD pay and gaining exposure to cutting-edge tech stacks. Strong English communication is essential.

Qualifications

  • 5+ years of hands-on data engineering experience with architectural leadership.
  • Strong SQL and data modeling skills.
  • Proficient in modern transformation tools (dbt, Dataform).
  • Experience with cloud data platforms and data warehousing.
  • Excellent English communication.

Responsibilities

  • Architect and scale data models across heterogeneous sources.
  • Drive engineering standards for cloud warehousing and pipelines.
  • Build production-grade data services and APIs in Python.
  • Orchestrate automated pipelines with Airflow/Cloud Composer.
  • Collaborate with executives across Finance and Ops.

Skills

Data engineering
Cloud data platforms
English fluency
End-to-end ownership

Tools

Google Cloud Platform (GCP)
Google BigQuery
dbt
Dataform
Apache Airflow

Job description

CodeRoad Inc seeks an experienced Data Engineer to architect and scale data models, lead architectural decisions, and build production-grade data services on Python-based stacks. You will streamline pipelines using Airflow or Cloud Composer and collaborate with Finance and Operations leaders.

You will work 100% remotely for US-based clients, earning competitive USD pay and gaining exposure to cutting-edge tech stacks. Strong English communication is essential.

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