Industrial Data Engineer — AI-Powered Pipelines

Cognite

Monterrey

On-site

MXN 1,100,000 - 1,800,000

Full time

17 hours ago
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Job summary

Cognite is seeking a Senior Data Engineer to join our Global Value Delivery team in Mexico. The role focuses on designing, developing, and deploying data infrastructure and pipelines that ingest, centralize, and curate data from multiple sources to support industrial AI solutions.

The position offers on-site work in Mexico City, Monterrey, or Tijuana. You will collaborate with architects and product teams to translate client needs into scalable data products, build custom extractors, and

Qualifications

  • 7+ years of experience in a data-intensive role.
  • Experience in O&G and/or Manufacturing is required.
  • BS or MS degree in computer science or related field.
  • Fluent in English and Spanish.
  • Strong knowledge of data analysis or data science.

Responsibilities

  • Partner with Solution Architects to understand client requirements and define queries.
  • Develop custom extractors using Python, Spark, Rest APIs.
  • Customize existing extractors using SQL, event streaming with Kafka and deploy using Docker.
  • Create data models for data discovery, mapping, and cleansing.
  • Collaborate with product development to turn customer needs into product offerings.
  • Prototype data visualization and dashboards.

Skills

Bilingual English/Spanish
7+ years data experience
ETL
SQL
Python
Data analysis / data science
Client-facing experience

Education

BS or MS in computer science or related field

Tools

Kafka
Docker
Spark

Job description

Cognite is seeking a Senior Data Engineer to join our Global Value Delivery team in Mexico. The role focuses on designing, developing, and deploying data infrastructure and pipelines that ingest, centralize, and curate data from multiple sources to support industrial AI solutions.

The position offers on-site work in Mexico City, Monterrey, or Tijuana. You will collaborate with architects and product teams to translate client needs into scalable data products, build custom extractors, and

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