Data Engineer
Cognite - AI for Industry3 days ago
Mexico City, Mexico +2 moreSenior
Responsibilities
- Partner with Solution Architects and subject matter experts to understand client requirements and define queries.
- Develop custom extractors using Python, Spark, and REST APIs.
- Customize database extractors with SQL and event-streaming solutions with Kafka, then deploy them using Docker.
- Create data models for data discovery, mapping, and cleansing.
- Collaborate with product development to turn customer needs into potential product offerings.
- Prototype data visualizations and dashboards.
- Design and implement reliable, efficient data infrastructure and pipelines.
- Work on internal and external client-facing projects and travel onsite to engage with clients.
Requirements
- At least 7 years of experience in a data-intensive role.
- Professional fluency in both spoken and written English and Spanish.
- Required experience in oil and gas and/or manufacturing.
- BS or MS degree in computer science or a related field.
- Experience with data technologies including ETL, SQL, and Python.
- Strong understanding of data analysis or data science.
- Passion for coding and willingness to share technical knowledge.
- Ability to communicate with key stakeholders and work on client-facing projects.
Benefits
- Role is based in Mexico City, Monterrey, or Tijuana, Mexico.
- Ability and expectation to travel onsite to meet and engage with clients.
- Cognite is proactively building a Mexico talent pool with intended new-hire starts in Q1 2027.
- Equal opportunity workplace committed to diversity and inclusion.
Tech Stack
Categories
Data Engineering
About Cognite - AI for Industry
Cognite builds an industrial data and AI platform used by energy, manufacturing, and power & utilities companies to integrate OT/IT data and deploy AI at scale. Its flagship product, Cognite Data Fusion, is sold as enterprise SaaS with services for implementation and Industrial AI agents. Founded in 2016 and privately held, the company focuses on asset-intensive operations and Industrial DataOps.