Data Engineer

Cognite
Mexico City +5 more

Who this role is best for

Industrial domain experts with data engineering experience will find this client-facing role with a focus on O&G and manufacturing.

Best fit for

  • Candidates with 7+ years in data-centric roles and industry experience in O&G or manufacturing
    — “7+ years of experience in a Data intense role”
  • Individuals who enjoy coding and can translate client needs into technical solutions
    — “Loves to code, passion for coding, and enjoys sharing that knowledge with others”
  • Professionals with a strong grasp of ETL, SQL, and Python who thrive in collaborative environments
    — “Experience working with data technologies, such as: ETL, SQL, Python”

Things to consider

  • Bilingual fluency in English and Spanish is mandatory for this role
    — “Fully bilingual both verbal and written in English and Spanish is required”
  • The role requires on-site client engagement and travel, not remote-only work
    — “Ability to travel onsite to meet with and engage with clients”

How to stand out

  • Highlight experience in custom data modeling and client-facing project delivery
    — “Create custom data models for data discovery, mapping, and cleansing”
  • Demonstrate hands-on experience with backend technologies like Python, Spark, and Kafka
    — “Develop custom extractors using backend technologies and languages i.e Python, Spark, Rest APIs”
  • Emphasize your ability to work across teams, including solution architects and product developers
    — “Collaborate with product development to turn customer needs into potential product offerings”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • data reliability
  • efficiency improvements
  • client satisfaction
Typical background
data engineeringsoftware developmentdata science

Skills & requirements

Required

ETLSQLPythonData ModelingData VisualizationData InfrastructureData PipelinesDockerKafkaSpark

Preferred

O&G Industry ExperienceManufacturing Industry Experience

Stack & domain

PythonSparkRest ApisSQLKafkaDockerETLData AnalysisData ScienceOil And GasManufacturing

About the role

Original posting from Cognite via Greenhouse

What Cognite is Relentless to Achieve

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve the world’s hardest, highest-impact problems. Our Moonshot is bold: unlock $100B in customer value by 2035, and redefine how global industry works.

How you’ll demonstrate Ownership

At Cognite, the Global Value Delivery team leads software implementation, deployment & adoption for clients, and helps them accelerate their digital transformation efforts with Cognite’s product suite. We consist of people with diverse and high-performance backgrounds, ranging from Management Consulting, to Industry and Software development. We seek to continuously improve how we work with our clients, how we work together as a team, and how we develop as individuals.

Do you see how data can be used, modeled and visualized in new ways to improve decisions in industrial engineering, but you experience that the tools and data availability is insufficient to create impact? If you want to change that, and take part in forming what the future of the industry will look like you should join our Cognite and become a part of the team responsible for delivering Cognite’s cutting edge industry solutions to our customers!

As a Data Engineer, located in Mexico City, Monterrey or Tijuana, Mexico you will design, develop and implement data infrastructure and best-in-class pipelines that collect, connect, centralize and curate data from various internal and external data sources. You will ensure that architectures support the needs of the business, and recommend ways to improve data reliability, efficiency. You are an experienced engineer with a passion for software development, hands-on in designing, implementing, and delivering features for flagship products.

We are proactively building out our talent pool in Mexico with the intention to have new hires start in Q1 2027

What You'll Do

Partner with Solution Architects to understand client requirements and define queries with subject matter experts

Develop custom extractors using backend technologies and languages i.e Python, Spark, Rest APIs

Customize existing extractors i.e. database extractor using SQL, event streaming using Kafka and deploy using Docker

Create custom data models for data discovery, mapping, and cleansing

Collaborate with product development to turn customer needs into potential product offerings

Prototype data visualization and dashboards

The Impact you bring to Cognite

Fully bilingual both verbal and written in English and Spanish is required

7+ years of experience in a Data intense role

Experience in O&G and/or Manufacturing is required

BS or MS degree in computer science or related field

Loves to code, passion for coding, and enjoys sharing that knowledge with others

Strong understanding of data analysis or data science

Experience working with data technologies, such as: ETL, SQL, Python

Ability to work on both internal and external client-facing projects and communicate with key stakeholders

Ability to travel onsite to meet with and engage with clients -- we don’t build solutions in isolation.

Role based in Mexico City, Monterrey or Tijuana, Mexico

Why Cognite

You will work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve problems that actually matter at scale — not hypothetical ones. You'll join a collaborative, fast-moving environment where curiosity and ownership are the norm, not the exception. If you want delivery work you can point to and be proud of, we'd love to hear from you.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Source: Cognite careers (Greenhouse)

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