Senior Data Engineer — Remote, Scale Data Architecture

CodeRoad

Mexico

Hybrid

PHP 7,290,000 - 10,936,000

Full time

14 days+

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Benefits offered by this job

100% Remote
Holidays off
Paid Time Off (PTO)
Health insurance assistance
Competitive USD compensation
Growth opportunities

Job summary

CodeRoad is seeking a Senior Data Engineer to own end-to-end data pipelines and shape our data architecture from a fully remote LATAM base. You will design robust data models, ensure data quality, and enable trusted insights for Finance and Operations.

As a senior contributor, you’ll work with BigQuery, dbt or Dataform, and Python to build production services and drive architectural standards across the organization with a focus on reliability and scalability.

Qualifications

  • 5+ years hands-on data engineering experience with staff/principal level exposure.
  • Deep expertise in cloud data warehouses and SQL-based transformations.
  • Proven ability to design normalized data models and trustworthiness practices.
  • Experience building production data services and APIs with Python.
  • Strong ownership, strategic thinking and communication skills.

Responsibilities

  • Design and implement standardized data models integrating heterogeneous sources.
  • Lead org-wide architectural decisions for data warehousing and pipelines.
  • Build and maintain production data services using Python and modern frameworks.
  • Optimize transformations and orchestration with dbt, Dataform, Airflow/Composer.
  • Establish data quality, testing, monitoring, and incident response processes.
  • Collaborate with Finance and Operations to translate tech tradeoffs into business strategy.

Skills

BigQuery
dbt
Dataform
Python
Airflow
Cloud Composer
Data modeling
English (Advanced)

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

FastAPI
Flask

Job description

CodeRoad is seeking a Senior Data Engineer to own end-to-end data pipelines and shape our data architecture from a fully remote LATAM base. You will design robust data models, ensure data quality, and enable trusted insights for Finance and Operations.

As a senior contributor, you’ll work with BigQuery, dbt or Dataform, and Python to build production services and drive architectural standards across the organization with a focus on reliability and scalability.

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