Teams at Cognite

Develop and deploy data science and machine learning solutions for industrial customers across energy, manufacturing, pharma, and utilities. Responsibilities include facilitating discovery workshops, cleansing and analyzing data, implementing Python-based physical and machine learning models, applying generative AI, building Cognite Data Fusion web applications, and collaborating with data engineers, project managers, and solution architects on customer deliveries.

Lead scalable data engineering solutions using Cognite Data Fusion, including integrations, extraction, data modeling, cleansing, analysis, and production-grade pipelines. Collaborate with data scientists, architects, project managers, engineering, product teams, customers, and partners. Conduct code reviews, apply DevOps and CI/CD practices, support Cognite tools and SDKs, and translate customer needs into product offerings.

Design and implement data infrastructure, custom extractors, ETL pipelines, data models, and visualization prototypes for industrial clients. Collaborate with solution architects, subject matter experts, product teams, and stakeholders to deliver reliable data solutions using Python, Spark, SQL, Kafka, REST APIs, and Docker. The role requires experience in oil and gas or manufacturing, client-facing communication, and onsite travel from a hybrid Houston location.